Merge version_1 into main #2
@@ -50,9 +50,7 @@ export default function AboutPage() {
|
||||
{ name: "About", id: "about" },
|
||||
]}
|
||||
button={{
|
||||
text: "Login",
|
||||
href: "#login",
|
||||
}}
|
||||
text: "Login", href: "#login"}}
|
||||
animateOnLoad={true}
|
||||
/>
|
||||
</div>
|
||||
@@ -66,17 +64,14 @@ export default function AboutPage() {
|
||||
tagAnimation="slide-up"
|
||||
metrics={[
|
||||
{
|
||||
value: "98.5%",
|
||||
title: "Clinical Accuracy",
|
||||
},
|
||||
value: "98.5%", title: "Clinical Accuracy"},
|
||||
{
|
||||
value: "50K+",
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||||
title: "Images Trained On",
|
||||
},
|
||||
value: "50K+", title: "Images Trained On"},
|
||||
]}
|
||||
imageSrc="https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3Aqts5cdOEz32EulCCrVgrR1aoH/professional-medical-team-in-laboratory--1773332569649-1ffb8db3.png?_wi=5"
|
||||
imageSrc="https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3Aqts5cdOEz32EulCCrVgrR1aoH/professional-medical-team-in-laboratory--1773332569649-1ffb8db3.png"
|
||||
imageAlt="Professional medical team collaboration"
|
||||
mediaAnimation="slide-up"
|
||||
metricsAnimation="slide-up"
|
||||
useInvertedBackground={false}
|
||||
/>
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||||
</div>
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||||
@@ -93,51 +88,28 @@ export default function AboutPage() {
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||||
animationType="slide-up"
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||||
features={[
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||||
{
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||||
title: "ResNet Deep Learning Architecture",
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||||
description: "Our proprietary ResNet-152 model trained on diverse patient populations for robust generalization across demographic groups",
|
||||
bentoComponent: "globe",
|
||||
},
|
||||
title: "ResNet Deep Learning Architecture", description: "Our proprietary ResNet-152 model trained on diverse patient populations for robust generalization across demographic groups", bentoComponent: "globe"},
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||||
{
|
||||
title: "Interpretable AI with Grad-CAM",
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||||
description: "Visual explanation system that highlights which retinal regions influenced diagnostic decisions, building clinician trust",
|
||||
bentoComponent: "animated-bar-chart",
|
||||
},
|
||||
title: "Interpretable AI with Grad-CAM", description: "Visual explanation system that highlights which retinal regions influenced diagnostic decisions, building clinician trust", bentoComponent: "animated-bar-chart"},
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||||
{
|
||||
title: "Multi-Level Severity Classification",
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||||
description: "Five-level grading system aligned with international standards for standardized clinical communication",
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||||
bentoComponent: "line-chart",
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||||
},
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||||
title: "Multi-Level Severity Classification", description: "Five-level grading system aligned with international standards for standardized clinical communication", bentoComponent: "line-chart"},
|
||||
{
|
||||
title: "Confidence Scoring System",
|
||||
description: "Probabilistic output for each severity level enabling evidence-based triage decisions",
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||||
bentoComponent: "icon-info-cards",
|
||||
items: [
|
||||
title: "Confidence Scoring System", description: "Probabilistic output for each severity level enabling evidence-based triage decisions", bentoComponent: "icon-info-cards", items: [
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||||
{
|
||||
icon: CheckCircle,
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||||
label: "Accuracy",
|
||||
value: "98.5%",
|
||||
},
|
||||
label: "Accuracy", value: "98.5%"},
|
||||
{
|
||||
icon: Shield,
|
||||
label: "Sensitivity",
|
||||
value: "97.2%",
|
||||
},
|
||||
label: "Sensitivity", value: "97.2%"},
|
||||
{
|
||||
icon: Zap,
|
||||
label: "Specificity",
|
||||
value: "99.1%",
|
||||
},
|
||||
label: "Specificity", value: "99.1%"},
|
||||
],
|
||||
},
|
||||
{
|
||||
title: "HIPAA-Compliant Infrastructure",
|
||||
description: "Enterprise-grade security with end-to-end encryption, de-identification protocols, and audit logging",
|
||||
bentoComponent: "phone",
|
||||
statusIcon: Upload,
|
||||
title: "HIPAA-Compliant Infrastructure", description: "Enterprise-grade security with end-to-end encryption, de-identification protocols, and audit logging", bentoComponent: "phone", statusIcon: Upload,
|
||||
alertIcon: FileText,
|
||||
alertTitle: "Secure Processing",
|
||||
alertMessage: "Patient data encrypted and processed securely...",
|
||||
apps: [
|
||||
alertTitle: "Secure Processing", alertMessage: "Patient data encrypted and processed securely...", apps: [
|
||||
{ name: "Upload", icon: Upload },
|
||||
{ name: "Analyze", icon: Zap },
|
||||
{ name: "Report", icon: FileText },
|
||||
@@ -166,43 +138,24 @@ export default function AboutPage() {
|
||||
carouselMode="buttons"
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||||
testimonials={[
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||||
{
|
||||
id: "1",
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||||
name: "Dr. Sarah Mitchell",
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||||
role: "Chief Ophthalmologist - Metropolitan Eye Clinic",
|
||||
testimonial: "RetinoCare AI has fundamentally transformed our screening workflow. The accuracy is exceptional, and the Grad-CAM explanations help us confidently communicate findings to patients. We've achieved an 80% reduction in analysis time while maintaining the highest clinical standards.",
|
||||
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3Aqts5cdOEz32EulCCrVgrR1aoH/professional-portrait-of-female-ophthalm-1773332568813-7db81b8f.png?_wi=3",
|
||||
imageAlt: "Dr. Sarah Mitchell",
|
||||
},
|
||||
id: "1", name: "Dr. Sarah Mitchell", role: "Chief Ophthalmologist - Metropolitan Eye Clinic", testimonial: "RetinoCare AI has fundamentally transformed our screening workflow. The accuracy is exceptional, and the Grad-CAM explanations help us confidently communicate findings to patients. We've achieved an 80% reduction in analysis time while maintaining the highest clinical standards.", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3Aqts5cdOEz32EulCCrVgrR1aoH/professional-portrait-of-female-ophthalm-1773332568813-7db81b8f.png", imageAlt: "Dr. Sarah Mitchell"},
|
||||
{
|
||||
id: "2",
|
||||
name: "Dr. James Chen",
|
||||
role: "Retinal Specialist - Vision Research Institute",
|
||||
testimonial: "The neural network's sensitivity in identifying early-stage diabetic retinopathy surpasses our traditional screening approaches. EHR integration was seamless, and staff adoption was immediate. This represents a genuine advancement in ophthalmology technology.",
|
||||
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3Aqts5cdOEz32EulCCrVgrR1aoH/professional-portrait-of-male-ophthalmol-1773332568330-e26f630b.png?_wi=3",
|
||||
imageAlt: "Dr. James Chen",
|
||||
},
|
||||
id: "2", name: "Dr. James Chen", role: "Retinal Specialist - Vision Research Institute", testimonial: "The neural network's sensitivity in identifying early-stage diabetic retinopathy surpasses our traditional screening approaches. EHR integration was seamless, and staff adoption was immediate. This represents a genuine advancement in ophthalmology technology.", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3Aqts5cdOEz32EulCCrVgrR1aoH/professional-portrait-of-male-ophthalmol-1773332568330-e26f630b.png", imageAlt: "Dr. James Chen"},
|
||||
{
|
||||
id: "3",
|
||||
name: "Dr. Amara Okafor",
|
||||
role: "Clinical Director - Diabetes Care Center",
|
||||
testimonial: "Our diabetic patients now receive rapid, accurate severity assessments with clear explanations. The confidence scores facilitate appropriate triage, and the platform has become integral to our care delivery model.",
|
||||
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3Aqts5cdOEz32EulCCrVgrR1aoH/professional-portrait-of-healthcare-clin-1773332568848-79c18f1a.png?_wi=3",
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||||
imageAlt: "Dr. Amara Okafor",
|
||||
},
|
||||
id: "3", name: "Dr. Amara Okafor", role: "Clinical Director - Diabetes Care Center", testimonial: "Our diabetic patients now receive rapid, accurate severity assessments with clear explanations. The confidence scores facilitate appropriate triage, and the platform has become integral to our care delivery model.", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3Aqts5cdOEz32EulCCrVgrR1aoH/professional-portrait-of-healthcare-clin-1773332568848-79c18f1a.png", imageAlt: "Dr. Amara Okafor"},
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||||
]}
|
||||
/>
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||||
</div>
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||||
|
||||
<div id="footer" data-section="footer">
|
||||
<FooterMedia
|
||||
imageSrc="https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3Aqts5cdOEz32EulCCrVgrR1aoH/professional-medical-team-in-laboratory--1773332569649-1ffb8db3.png?_wi=6"
|
||||
imageSrc="https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3Aqts5cdOEz32EulCCrVgrR1aoH/professional-medical-team-in-laboratory--1773332569649-1ffb8db3.png"
|
||||
imageAlt="Medical team collaboration"
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||||
logoText="RetinoCare AI"
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||||
copyrightText="© 2025 RetinoCare AI. All rights reserved."
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||||
columns={[
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||||
{
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||||
title: "Product",
|
||||
items: [
|
||||
title: "Product", items: [
|
||||
{ label: "Features", href: "#features" },
|
||||
{ label: "Pricing", href: "/pricing" },
|
||||
{ label: "Security", href: "#security" },
|
||||
@@ -210,8 +163,7 @@ export default function AboutPage() {
|
||||
],
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||||
},
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||||
{
|
||||
title: "Clinical",
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||||
items: [
|
||||
title: "Clinical", items: [
|
||||
{ label: "Validation Studies", href: "#studies" },
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||||
{ label: "Clinical Guidelines", href: "#guidelines" },
|
||||
{ label: "Training Resources", href: "#training" },
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||||
@@ -219,8 +171,7 @@ export default function AboutPage() {
|
||||
],
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||||
},
|
||||
{
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||||
title: "Company",
|
||||
items: [
|
||||
title: "Company", items: [
|
||||
{ label: "About Us", href: "/about" },
|
||||
{ label: "Contact", href: "#contact" },
|
||||
{ label: "Privacy Policy", href: "#privacy" },
|
||||
|
||||
@@ -50,9 +50,7 @@ export default function AnalysisPage() {
|
||||
{ name: "About", id: "about" },
|
||||
]}
|
||||
button={{
|
||||
text: "Login",
|
||||
href: "#login",
|
||||
}}
|
||||
text: "Login", href: "#login"}}
|
||||
animateOnLoad={true}
|
||||
/>
|
||||
</div>
|
||||
@@ -67,50 +65,30 @@ export default function AnalysisPage() {
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||||
background={{ variant: "glowing-orb" }}
|
||||
leftCarouselItems={[
|
||||
{
|
||||
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3Aqts5cdOEz32EulCCrVgrR1aoH/professional-retinal-fundus-photograph-s-1773332568534-af99ea22.png?_wi=4",
|
||||
imageAlt: "Retinal fundus photograph",
|
||||
},
|
||||
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3Aqts5cdOEz32EulCCrVgrR1aoH/professional-retinal-fundus-photograph-s-1773332568534-af99ea22.png", imageAlt: "Retinal fundus photograph"},
|
||||
{
|
||||
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3Aqts5cdOEz32EulCCrVgrR1aoH/advanced-medical-ai-visualization-showin-1773332569223-2572aa3a.png?_wi=5",
|
||||
imageAlt: "Grad-CAM visualization",
|
||||
},
|
||||
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3Aqts5cdOEz32EulCCrVgrR1aoH/advanced-medical-ai-visualization-showin-1773332569223-2572aa3a.png", imageAlt: "Grad-CAM visualization"},
|
||||
{
|
||||
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3Aqts5cdOEz32EulCCrVgrR1aoH/medical-severity-classification-dashboar-1773332569806-21e23b7b.png?_wi=6",
|
||||
imageAlt: "Severity classification",
|
||||
},
|
||||
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3Aqts5cdOEz32EulCCrVgrR1aoH/medical-severity-classification-dashboar-1773332569806-21e23b7b.png", imageAlt: "Severity classification"},
|
||||
{
|
||||
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3Aqts5cdOEz32EulCCrVgrR1aoH/clean-modern-medical-interface-showing-f-1773332569664-81951b93.png?_wi=4",
|
||||
imageAlt: "Upload interface",
|
||||
},
|
||||
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3Aqts5cdOEz32EulCCrVgrR1aoH/clean-modern-medical-interface-showing-f-1773332569664-81951b93.png", imageAlt: "Upload interface"},
|
||||
]}
|
||||
rightCarouselItems={[
|
||||
{
|
||||
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3Aqts5cdOEz32EulCCrVgrR1aoH/medical-severity-classification-dashboar-1773332569806-21e23b7b.png?_wi=7",
|
||||
imageAlt: "Classification results",
|
||||
},
|
||||
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3Aqts5cdOEz32EulCCrVgrR1aoH/medical-severity-classification-dashboar-1773332569806-21e23b7b.png", imageAlt: "Classification results"},
|
||||
{
|
||||
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3Aqts5cdOEz32EulCCrVgrR1aoH/resnet-deep-learning-architecture-visual-1773332570731-0d31802e.png?_wi=3",
|
||||
imageAlt: "ResNet architecture",
|
||||
},
|
||||
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3Aqts5cdOEz32EulCCrVgrR1aoH/resnet-deep-learning-architecture-visual-1773332570731-0d31802e.png", imageAlt: "ResNet architecture"},
|
||||
{
|
||||
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3Aqts5cdOEz32EulCCrVgrR1aoH/professional-retinal-fundus-photograph-s-1773332568534-af99ea22.png?_wi=5",
|
||||
imageAlt: "Retinal image",
|
||||
},
|
||||
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3Aqts5cdOEz32EulCCrVgrR1aoH/professional-retinal-fundus-photograph-s-1773332568534-af99ea22.png", imageAlt: "Retinal image"},
|
||||
{
|
||||
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3Aqts5cdOEz32EulCCrVgrR1aoH/professional-medical-report-generation-i-1773332569855-51a5bd0d.png?_wi=5",
|
||||
imageAlt: "Report generation",
|
||||
},
|
||||
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3Aqts5cdOEz32EulCCrVgrR1aoH/professional-medical-report-generation-i-1773332569855-51a5bd0d.png", imageAlt: "Report generation"},
|
||||
]}
|
||||
carouselPosition="right"
|
||||
buttons={[
|
||||
{
|
||||
text: "Upload Image",
|
||||
href: "#upload",
|
||||
},
|
||||
text: "Upload Image", href: "#upload"},
|
||||
{
|
||||
text: "View Guidelines",
|
||||
href: "#guidelines",
|
||||
},
|
||||
text: "View Guidelines", href: "#guidelines"},
|
||||
]}
|
||||
buttonAnimation="slide-up"
|
||||
/>
|
||||
@@ -128,51 +106,28 @@ export default function AnalysisPage() {
|
||||
animationType="slide-up"
|
||||
features={[
|
||||
{
|
||||
title: "Secure HIPAA-Compliant Upload",
|
||||
description: "End-to-end encrypted image upload with automatic data de-identification and HIPAA compliance",
|
||||
bentoComponent: "globe",
|
||||
},
|
||||
title: "Secure HIPAA-Compliant Upload", description: "End-to-end encrypted image upload with automatic data de-identification and HIPAA compliance", bentoComponent: "globe"},
|
||||
{
|
||||
title: "Multiple Format Support",
|
||||
description: "Accept JPEG, PNG, and TIFF fundus photographs from certified fundus cameras",
|
||||
bentoComponent: "animated-bar-chart",
|
||||
},
|
||||
title: "Multiple Format Support", description: "Accept JPEG, PNG, and TIFF fundus photographs from certified fundus cameras", bentoComponent: "animated-bar-chart"},
|
||||
{
|
||||
title: "Batch Processing Capability",
|
||||
description: "Upload and analyze multiple images simultaneously for efficient clinic workflows",
|
||||
bentoComponent: "line-chart",
|
||||
},
|
||||
title: "Batch Processing Capability", description: "Upload and analyze multiple images simultaneously for efficient clinic workflows", bentoComponent: "line-chart"},
|
||||
{
|
||||
title: "Real-Time Processing Status",
|
||||
description: "Live progress tracking and instant notifications when analysis completes",
|
||||
bentoComponent: "icon-info-cards",
|
||||
items: [
|
||||
title: "Real-Time Processing Status", description: "Live progress tracking and instant notifications when analysis completes", bentoComponent: "icon-info-cards", items: [
|
||||
{
|
||||
icon: CheckCircle,
|
||||
label: "Upload Status",
|
||||
value: "Instant",
|
||||
},
|
||||
label: "Upload Status", value: "Instant"},
|
||||
{
|
||||
icon: Shield,
|
||||
label: "Encryption",
|
||||
value: "AES-256",
|
||||
},
|
||||
label: "Encryption", value: "AES-256"},
|
||||
{
|
||||
icon: Zap,
|
||||
label: "Processing",
|
||||
value: "<5 seconds",
|
||||
},
|
||||
label: "Processing", value: "<5 seconds"},
|
||||
],
|
||||
},
|
||||
{
|
||||
title: "Patient Data Management",
|
||||
description: "Secure patient identification, image storage, and linked analysis records for continuity of care",
|
||||
bentoComponent: "phone",
|
||||
statusIcon: Lock,
|
||||
title: "Patient Data Management", description: "Secure patient identification, image storage, and linked analysis records for continuity of care", bentoComponent: "phone", statusIcon: Lock,
|
||||
alertIcon: Upload,
|
||||
alertTitle: "Image Upload",
|
||||
alertMessage: "Processing retinal image...",
|
||||
apps: [
|
||||
alertTitle: "Image Upload", alertMessage: "Processing retinal image...", apps: [
|
||||
{ name: "Upload", icon: Upload },
|
||||
{ name: "Analyze", icon: Zap },
|
||||
{ name: "Report", icon: FileText },
|
||||
@@ -197,17 +152,14 @@ export default function AnalysisPage() {
|
||||
tagAnimation="slide-up"
|
||||
metrics={[
|
||||
{
|
||||
value: "<5 sec",
|
||||
title: "Average Analysis Time",
|
||||
},
|
||||
value: "<5 sec", title: "Average Analysis Time"},
|
||||
{
|
||||
value: "98.5%",
|
||||
title: "Diagnostic Accuracy",
|
||||
},
|
||||
value: "98.5%", title: "Diagnostic Accuracy"},
|
||||
]}
|
||||
imageSrc="https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3Aqts5cdOEz32EulCCrVgrR1aoH/resnet-deep-learning-architecture-visual-1773332570731-0d31802e.png?_wi=4"
|
||||
imageSrc="https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3Aqts5cdOEz32EulCCrVgrR1aoH/resnet-deep-learning-architecture-visual-1773332570731-0d31802e.png"
|
||||
imageAlt="ResNet architecture visualization"
|
||||
mediaAnimation="slide-up"
|
||||
metricsAnimation="slide-up"
|
||||
useInvertedBackground={false}
|
||||
/>
|
||||
</div>
|
||||
@@ -225,59 +177,30 @@ export default function AnalysisPage() {
|
||||
gridVariant="four-items-2x2-equal-grid"
|
||||
products={[
|
||||
{
|
||||
id: "no-dr",
|
||||
brand: "Level 0",
|
||||
name: "No Diabetic Retinopathy",
|
||||
price: "No abnormalities detected",
|
||||
rating: 5,
|
||||
reviewCount: "No pathology",
|
||||
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3Aqts5cdOEz32EulCCrVgrR1aoH/professional-retinal-fundus-photograph-s-1773332568534-af99ea22.png?_wi=6",
|
||||
imageAlt: "Normal retina",
|
||||
},
|
||||
id: "no-dr", brand: "Level 0", name: "No Diabetic Retinopathy", price: "No abnormalities detected", rating: 5,
|
||||
reviewCount: "No pathology", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3Aqts5cdOEz32EulCCrVgrR1aoH/professional-retinal-fundus-photograph-s-1773332568534-af99ea22.png", imageAlt: "Normal retina"},
|
||||
{
|
||||
id: "mild-dr",
|
||||
brand: "Level 1",
|
||||
name: "Mild Nonproliferative DR",
|
||||
price: "Early microaneurysms",
|
||||
rating: 5,
|
||||
reviewCount: "Treatable",
|
||||
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3Aqts5cdOEz32EulCCrVgrR1aoH/medical-severity-classification-dashboar-1773332569806-21e23b7b.png?_wi=8",
|
||||
imageAlt: "Mild retinopathy",
|
||||
},
|
||||
id: "mild-dr", brand: "Level 1", name: "Mild Nonproliferative DR", price: "Early microaneurysms", rating: 5,
|
||||
reviewCount: "Treatable", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3Aqts5cdOEz32EulCCrVgrR1aoH/medical-severity-classification-dashboar-1773332569806-21e23b7b.png", imageAlt: "Mild retinopathy"},
|
||||
{
|
||||
id: "moderate-dr",
|
||||
brand: "Level 2",
|
||||
name: "Moderate Nonproliferative DR",
|
||||
price: "Hemorrhages present",
|
||||
rating: 5,
|
||||
reviewCount: "Requires monitoring",
|
||||
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3Aqts5cdOEz32EulCCrVgrR1aoH/advanced-medical-ai-visualization-showin-1773332569223-2572aa3a.png?_wi=6",
|
||||
imageAlt: "Moderate retinopathy",
|
||||
},
|
||||
id: "moderate-dr", brand: "Level 2", name: "Moderate Nonproliferative DR", price: "Hemorrhages present", rating: 5,
|
||||
reviewCount: "Requires monitoring", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3Aqts5cdOEz32EulCCrVgrR1aoH/advanced-medical-ai-visualization-showin-1773332569223-2572aa3a.png", imageAlt: "Moderate retinopathy"},
|
||||
{
|
||||
id: "severe-dr",
|
||||
brand: "Level 3-4",
|
||||
name: "Severe/Proliferative DR",
|
||||
price: "Significant damage",
|
||||
rating: 5,
|
||||
reviewCount: "Urgent treatment needed",
|
||||
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3Aqts5cdOEz32EulCCrVgrR1aoH/professional-medical-report-generation-i-1773332569855-51a5bd0d.png?_wi=6",
|
||||
imageAlt: "Severe retinopathy",
|
||||
},
|
||||
id: "severe-dr", brand: "Level 3-4", name: "Severe/Proliferative DR", price: "Significant damage", rating: 5,
|
||||
reviewCount: "Urgent treatment needed", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3Aqts5cdOEz32EulCCrVgrR1aoH/professional-medical-report-generation-i-1773332569855-51a5bd0d.png", imageAlt: "Severe retinopathy"},
|
||||
]}
|
||||
/>
|
||||
</div>
|
||||
|
||||
<div id="footer" data-section="footer">
|
||||
<FooterMedia
|
||||
imageSrc="https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3Aqts5cdOEz32EulCCrVgrR1aoH/professional-medical-team-in-laboratory--1773332569649-1ffb8db3.png?_wi=3"
|
||||
imageSrc="https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3Aqts5cdOEz32EulCCrVgrR1aoH/professional-medical-team-in-laboratory--1773332569649-1ffb8db3.png"
|
||||
imageAlt="Medical team collaboration"
|
||||
logoText="RetinoCare AI"
|
||||
copyrightText="© 2025 RetinoCare AI. All rights reserved."
|
||||
columns={[
|
||||
{
|
||||
title: "Product",
|
||||
items: [
|
||||
title: "Product", items: [
|
||||
{ label: "Features", href: "#features" },
|
||||
{ label: "Pricing", href: "/pricing" },
|
||||
{ label: "Security", href: "#security" },
|
||||
@@ -285,8 +208,7 @@ export default function AnalysisPage() {
|
||||
],
|
||||
},
|
||||
{
|
||||
title: "Clinical",
|
||||
items: [
|
||||
title: "Clinical", items: [
|
||||
{ label: "Validation Studies", href: "#studies" },
|
||||
{ label: "Clinical Guidelines", href: "#guidelines" },
|
||||
{ label: "Training Resources", href: "#training" },
|
||||
@@ -294,8 +216,7 @@ export default function AnalysisPage() {
|
||||
],
|
||||
},
|
||||
{
|
||||
title: "Company",
|
||||
items: [
|
||||
title: "Company", items: [
|
||||
{ label: "About Us", href: "/about" },
|
||||
{ label: "Contact", href: "#contact" },
|
||||
{ label: "Privacy Policy", href: "#privacy" },
|
||||
|
||||
327
src/app/page.tsx
327
src/app/page.tsx
@@ -38,9 +38,7 @@ export default function HomePage() {
|
||||
{ name: "About", id: "about" },
|
||||
]}
|
||||
button={{
|
||||
text: "Login",
|
||||
href: "#login",
|
||||
}}
|
||||
text: "Login", href: "#login"}}
|
||||
animateOnLoad={true}
|
||||
/>
|
||||
</div>
|
||||
@@ -55,50 +53,30 @@ export default function HomePage() {
|
||||
background={{ variant: "glowing-orb" }}
|
||||
leftCarouselItems={[
|
||||
{
|
||||
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3Aqts5cdOEz32EulCCrVgrR1aoH/professional-retinal-fundus-photograph-s-1773332568534-af99ea22.png?_wi=1",
|
||||
imageAlt: "Retinal fundus photograph",
|
||||
},
|
||||
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3Aqts5cdOEz32EulCCrVgrR1aoH/professional-retinal-fundus-photograph-s-1773332568534-af99ea22.png", imageAlt: "Retinal fundus photograph"},
|
||||
{
|
||||
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3Aqts5cdOEz32EulCCrVgrR1aoH/advanced-medical-ai-visualization-showin-1773332569223-2572aa3a.png?_wi=1",
|
||||
imageAlt: "Grad-CAM visualization",
|
||||
},
|
||||
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3Aqts5cdOEz32EulCCrVgrR1aoH/advanced-medical-ai-visualization-showin-1773332569223-2572aa3a.png", imageAlt: "Grad-CAM visualization"},
|
||||
{
|
||||
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3Aqts5cdOEz32EulCCrVgrR1aoH/medical-severity-classification-dashboar-1773332569806-21e23b7b.png?_wi=1",
|
||||
imageAlt: "Severity classification",
|
||||
},
|
||||
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3Aqts5cdOEz32EulCCrVgrR1aoH/medical-severity-classification-dashboar-1773332569806-21e23b7b.png", imageAlt: "Severity classification"},
|
||||
{
|
||||
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3Aqts5cdOEz32EulCCrVgrR1aoH/clean-modern-medical-interface-showing-f-1773332569664-81951b93.png?_wi=1",
|
||||
imageAlt: "Upload interface",
|
||||
},
|
||||
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3Aqts5cdOEz32EulCCrVgrR1aoH/clean-modern-medical-interface-showing-f-1773332569664-81951b93.png", imageAlt: "Upload interface"},
|
||||
]}
|
||||
rightCarouselItems={[
|
||||
{
|
||||
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3Aqts5cdOEz32EulCCrVgrR1aoH/medical-severity-classification-dashboar-1773332569806-21e23b7b.png?_wi=2",
|
||||
imageAlt: "Classification results",
|
||||
},
|
||||
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3Aqts5cdOEz32EulCCrVgrR1aoH/medical-severity-classification-dashboar-1773332569806-21e23b7b.png", imageAlt: "Classification results"},
|
||||
{
|
||||
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3Aqts5cdOEz32EulCCrVgrR1aoH/resnet-deep-learning-architecture-visual-1773332570731-0d31802e.png?_wi=1",
|
||||
imageAlt: "ResNet architecture",
|
||||
},
|
||||
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3Aqts5cdOEz32EulCCrVgrR1aoH/resnet-deep-learning-architecture-visual-1773332570731-0d31802e.png", imageAlt: "ResNet architecture"},
|
||||
{
|
||||
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3Aqts5cdOEz32EulCCrVgrR1aoH/professional-retinal-fundus-photograph-s-1773332568534-af99ea22.png?_wi=2",
|
||||
imageAlt: "Retinal image",
|
||||
},
|
||||
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3Aqts5cdOEz32EulCCrVgrR1aoH/professional-retinal-fundus-photograph-s-1773332568534-af99ea22.png", imageAlt: "Retinal image"},
|
||||
{
|
||||
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3Aqts5cdOEz32EulCCrVgrR1aoH/professional-medical-report-generation-i-1773332569855-51a5bd0d.png?_wi=1",
|
||||
imageAlt: "Report generation",
|
||||
},
|
||||
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3Aqts5cdOEz32EulCCrVgrR1aoH/professional-medical-report-generation-i-1773332569855-51a5bd0d.png", imageAlt: "Report generation"},
|
||||
]}
|
||||
carouselPosition="right"
|
||||
buttons={[
|
||||
{
|
||||
text: "Start Analysis",
|
||||
href: "/dashboard",
|
||||
},
|
||||
text: "Start Analysis", href: "/dashboard"},
|
||||
{
|
||||
text: "Learn More",
|
||||
href: "#features",
|
||||
},
|
||||
text: "Learn More", href: "#features"},
|
||||
]}
|
||||
buttonAnimation="slide-up"
|
||||
/>
|
||||
@@ -116,82 +94,51 @@ export default function HomePage() {
|
||||
animationType="slide-up"
|
||||
features={[
|
||||
{
|
||||
title: "ResNet Deep Learning Model",
|
||||
description: "State-of-the-art convolutional neural network trained on thousands of validated retinal images for accurate severity detection",
|
||||
bentoComponent: "globe",
|
||||
},
|
||||
title: "ResNet Deep Learning Model", description: "State-of-the-art convolutional neural network trained on thousands of validated retinal images for accurate severity detection", bentoComponent: "globe"},
|
||||
{
|
||||
title: "Grad-CAM Visualization",
|
||||
description: "Visual explanation of AI decisions highlighting which retinal regions influenced the severity classification",
|
||||
bentoComponent: "animated-bar-chart",
|
||||
},
|
||||
title: "Grad-CAM Visualization", description: "Visual explanation of AI decisions highlighting which retinal regions influenced the severity classification", bentoComponent: "animated-bar-chart"},
|
||||
{
|
||||
title: "Five-Level Classification",
|
||||
description: "Precise severity grading: No DR, Mild, Moderate, Severe, and Proliferative Diabetic Retinopathy",
|
||||
bentoComponent: "line-chart",
|
||||
},
|
||||
title: "Five-Level Classification", description: "Precise severity grading: No DR, Mild, Moderate, Severe, and Proliferative Diabetic Retinopathy", bentoComponent: "line-chart"},
|
||||
{
|
||||
title: "Confidence Scoring",
|
||||
description: "Probability scores for each classification level providing clinical confidence in diagnostic recommendations",
|
||||
bentoComponent: "icon-info-cards",
|
||||
items: [
|
||||
title: "Confidence Scoring", description: "Probability scores for each classification level providing clinical confidence in diagnostic recommendations", bentoComponent: "icon-info-cards", items: [
|
||||
{
|
||||
icon: CheckCircle,
|
||||
label: "Accuracy",
|
||||
value: "98.5%",
|
||||
},
|
||||
label: "Accuracy", value: "98.5%"},
|
||||
{
|
||||
icon: Shield,
|
||||
label: "Sensitivity",
|
||||
value: "97.2%",
|
||||
},
|
||||
label: "Sensitivity", value: "97.2%"},
|
||||
{
|
||||
icon: Zap,
|
||||
label: "Specificity",
|
||||
value: "99.1%",
|
||||
},
|
||||
label: "Specificity", value: "99.1%"},
|
||||
],
|
||||
},
|
||||
{
|
||||
title: "Secure Image Upload",
|
||||
description: "HIPAA-compliant encrypted image upload with automatic data validation and real-time processing status",
|
||||
bentoComponent: "phone",
|
||||
statusIcon: Lock,
|
||||
title: "Secure Image Upload", description: "HIPAA-compliant encrypted image upload with automatic data validation and real-time processing status", bentoComponent: "phone", statusIcon: Lock,
|
||||
alertIcon: Upload,
|
||||
alertTitle: "Image Upload",
|
||||
alertMessage: "Processing retinal image...",
|
||||
apps: [
|
||||
alertTitle: "Image Upload", alertMessage: "Processing retinal image...", apps: [
|
||||
{
|
||||
name: "Upload",
|
||||
icon: Upload,
|
||||
name: "Upload", icon: Upload,
|
||||
},
|
||||
{
|
||||
name: "Analyze",
|
||||
icon: Zap,
|
||||
name: "Analyze", icon: Zap,
|
||||
},
|
||||
{
|
||||
name: "Report",
|
||||
icon: FileText,
|
||||
name: "Report", icon: FileText,
|
||||
},
|
||||
{
|
||||
name: "Export",
|
||||
icon: Share2,
|
||||
name: "Export", icon: Share2,
|
||||
},
|
||||
{
|
||||
name: "History",
|
||||
icon: Clock,
|
||||
name: "History", icon: Clock,
|
||||
},
|
||||
{
|
||||
name: "Settings",
|
||||
icon: Settings,
|
||||
name: "Settings", icon: Settings,
|
||||
},
|
||||
{
|
||||
name: "Support",
|
||||
icon: HelpCircleIcon,
|
||||
name: "Support", icon: HelpCircleIcon,
|
||||
},
|
||||
{
|
||||
name: "Profile",
|
||||
icon: User,
|
||||
name: "Profile", icon: User,
|
||||
},
|
||||
],
|
||||
},
|
||||
@@ -209,17 +156,14 @@ export default function HomePage() {
|
||||
tagAnimation="slide-up"
|
||||
metrics={[
|
||||
{
|
||||
value: "<5 sec",
|
||||
title: "Average Analysis Time",
|
||||
},
|
||||
value: "<5 sec", title: "Average Analysis Time"},
|
||||
{
|
||||
value: "98.5%",
|
||||
title: "Diagnostic Accuracy Rate",
|
||||
},
|
||||
value: "98.5%", title: "Diagnostic Accuracy Rate"},
|
||||
]}
|
||||
imageSrc="https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3Aqts5cdOEz32EulCCrVgrR1aoH/resnet-deep-learning-architecture-visual-1773332570731-0d31802e.png?_wi=2"
|
||||
imageSrc="https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3Aqts5cdOEz32EulCCrVgrR1aoH/resnet-deep-learning-architecture-visual-1773332570731-0d31802e.png"
|
||||
imageAlt="ResNet architecture visualization"
|
||||
mediaAnimation="slide-up"
|
||||
metricsAnimation="slide-up"
|
||||
useInvertedBackground={false}
|
||||
/>
|
||||
</div>
|
||||
@@ -237,45 +181,17 @@ export default function HomePage() {
|
||||
gridVariant="four-items-2x2-equal-grid"
|
||||
products={[
|
||||
{
|
||||
id: "no-dr",
|
||||
brand: "Level 0",
|
||||
name: "No Diabetic Retinopathy",
|
||||
price: "No abnormalities detected",
|
||||
rating: 5,
|
||||
reviewCount: "No pathology",
|
||||
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3Aqts5cdOEz32EulCCrVgrR1aoH/professional-retinal-fundus-photograph-s-1773332568534-af99ea22.png?_wi=3",
|
||||
imageAlt: "Normal retina",
|
||||
},
|
||||
id: "no-dr", brand: "Level 0", name: "No Diabetic Retinopathy", price: "No abnormalities detected", rating: 5,
|
||||
reviewCount: "No pathology", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3Aqts5cdOEz32EulCCrVgrR1aoH/professional-retinal-fundus-photograph-s-1773332568534-af99ea22.png", imageAlt: "Normal retina"},
|
||||
{
|
||||
id: "mild-dr",
|
||||
brand: "Level 1",
|
||||
name: "Mild Nonproliferative DR",
|
||||
price: "Early microaneurysms",
|
||||
rating: 5,
|
||||
reviewCount: "Treatable",
|
||||
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3Aqts5cdOEz32EulCCrVgrR1aoH/medical-severity-classification-dashboar-1773332569806-21e23b7b.png?_wi=3",
|
||||
imageAlt: "Mild retinopathy",
|
||||
},
|
||||
id: "mild-dr", brand: "Level 1", name: "Mild Nonproliferative DR", price: "Early microaneurysms", rating: 5,
|
||||
reviewCount: "Treatable", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3Aqts5cdOEz32EulCCrVgrR1aoH/medical-severity-classification-dashboar-1773332569806-21e23b7b.png", imageAlt: "Mild retinopathy"},
|
||||
{
|
||||
id: "moderate-dr",
|
||||
brand: "Level 2",
|
||||
name: "Moderate Nonproliferative DR",
|
||||
price: "Hemorrhages present",
|
||||
rating: 5,
|
||||
reviewCount: "Requires monitoring",
|
||||
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3Aqts5cdOEz32EulCCrVgrR1aoH/advanced-medical-ai-visualization-showin-1773332569223-2572aa3a.png?_wi=2",
|
||||
imageAlt: "Moderate retinopathy",
|
||||
},
|
||||
id: "moderate-dr", brand: "Level 2", name: "Moderate Nonproliferative DR", price: "Hemorrhages present", rating: 5,
|
||||
reviewCount: "Requires monitoring", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3Aqts5cdOEz32EulCCrVgrR1aoH/advanced-medical-ai-visualization-showin-1773332569223-2572aa3a.png", imageAlt: "Moderate retinopathy"},
|
||||
{
|
||||
id: "severe-dr",
|
||||
brand: "Level 3-4",
|
||||
name: "Severe/Proliferative DR",
|
||||
price: "Significant damage",
|
||||
rating: 5,
|
||||
reviewCount: "Urgent treatment needed",
|
||||
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3Aqts5cdOEz32EulCCrVgrR1aoH/professional-medical-report-generation-i-1773332569855-51a5bd0d.png?_wi=2",
|
||||
imageAlt: "Severe retinopathy",
|
||||
},
|
||||
id: "severe-dr", brand: "Level 3-4", name: "Severe/Proliferative DR", price: "Significant damage", rating: 5,
|
||||
reviewCount: "Urgent treatment needed", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3Aqts5cdOEz32EulCCrVgrR1aoH/professional-medical-report-generation-i-1773332569855-51a5bd0d.png", imageAlt: "Severe retinopathy"},
|
||||
]}
|
||||
/>
|
||||
</div>
|
||||
@@ -293,44 +209,20 @@ export default function HomePage() {
|
||||
carouselMode="buttons"
|
||||
metrics={[
|
||||
{
|
||||
id: "accuracy",
|
||||
value: "98.5%",
|
||||
title: "Overall Diagnostic Accuracy",
|
||||
items: [
|
||||
"Validated on 5,000+ images",
|
||||
"Independent test dataset",
|
||||
"Outperforms single specialists",
|
||||
],
|
||||
id: "accuracy", value: "98.5%", title: "Overall Diagnostic Accuracy", items: [
|
||||
"Validated on 5,000+ images", "Independent test dataset", "Outperforms single specialists"],
|
||||
},
|
||||
{
|
||||
id: "sensitivity",
|
||||
value: "97.2%",
|
||||
title: "Disease Detection Sensitivity",
|
||||
items: [
|
||||
"Minimal false negatives",
|
||||
"Critical for screening",
|
||||
"ISO medical standards compliant",
|
||||
],
|
||||
id: "sensitivity", value: "97.2%", title: "Disease Detection Sensitivity", items: [
|
||||
"Minimal false negatives", "Critical for screening", "ISO medical standards compliant"],
|
||||
},
|
||||
{
|
||||
id: "specificity",
|
||||
value: "99.1%",
|
||||
title: "False Positive Control Specificity",
|
||||
items: [
|
||||
"Reduces unnecessary referrals",
|
||||
"Clinical workflow efficient",
|
||||
"Peer-reviewed validation",
|
||||
],
|
||||
id: "specificity", value: "99.1%", title: "False Positive Control Specificity", items: [
|
||||
"Reduces unnecessary referrals", "Clinical workflow efficient", "Peer-reviewed validation"],
|
||||
},
|
||||
{
|
||||
id: "processing",
|
||||
value: "<5s",
|
||||
title: "Average Analysis Time Per Image",
|
||||
items: [
|
||||
"Rapid clinical integration",
|
||||
"Real-time feedback generation",
|
||||
"Scalable infrastructure",
|
||||
],
|
||||
id: "processing", value: "<5s", title: "Average Analysis Time Per Image", items: [
|
||||
"Rapid clinical integration", "Real-time feedback generation", "Scalable infrastructure"],
|
||||
},
|
||||
]}
|
||||
/>
|
||||
@@ -349,37 +241,13 @@ export default function HomePage() {
|
||||
carouselMode="buttons"
|
||||
testimonials={[
|
||||
{
|
||||
id: "1",
|
||||
name: "Dr. Sarah Mitchell",
|
||||
role: "Chief Ophthalmologist",
|
||||
testimonial: "RetinoCare AI has revolutionized our screening workflow. The accuracy is outstanding and the Grad-CAM visualizations help us explain findings to patients with confidence. We've reduced analysis time by 80% while maintaining clinical excellence.",
|
||||
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3Aqts5cdOEz32EulCCrVgrR1aoH/professional-portrait-of-female-ophthalm-1773332568813-7db81b8f.png?_wi=1",
|
||||
imageAlt: "Dr. Sarah Mitchell",
|
||||
},
|
||||
id: "1", name: "Dr. Sarah Mitchell", role: "Chief Ophthalmologist", testimonial: "RetinoCare AI has revolutionized our screening workflow. The accuracy is outstanding and the Grad-CAM visualizations help us explain findings to patients with confidence. We've reduced analysis time by 80% while maintaining clinical excellence.", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3Aqts5cdOEz32EulCCrVgrR1aoH/professional-portrait-of-female-ophthalm-1773332568813-7db81b8f.png", imageAlt: "Dr. Sarah Mitchell"},
|
||||
{
|
||||
id: "2",
|
||||
name: "Dr. James Chen",
|
||||
role: "Retinal Specialist",
|
||||
testimonial: "The neural network's ability to identify early-stage diabetic retinopathy surpasses our previous manual screening methods. Integration with our EHR was seamless. This is genuinely transformative technology for ophthalmology.",
|
||||
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3Aqts5cdOEz32EulCCrVgrR1aoH/professional-portrait-of-male-ophthalmol-1773332568330-e26f630b.png?_wi=1",
|
||||
imageAlt: "Dr. James Chen",
|
||||
},
|
||||
id: "2", name: "Dr. James Chen", role: "Retinal Specialist", testimonial: "The neural network's ability to identify early-stage diabetic retinopathy surpasses our previous manual screening methods. Integration with our EHR was seamless. This is genuinely transformative technology for ophthalmology.", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3Aqts5cdOEz32EulCCrVgrR1aoH/professional-portrait-of-male-ophthalmol-1773332568330-e26f630b.png", imageAlt: "Dr. James Chen"},
|
||||
{
|
||||
id: "3",
|
||||
name: "Dr. Amara Okafor",
|
||||
role: "Clinical Director",
|
||||
testimonial: "Our diabetic patients receive faster diagnoses and better guidance on severity levels. The confidence scores help us triage appropriately. RetinoCare AI has become indispensable to our care delivery model.",
|
||||
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3Aqts5cdOEz32EulCCrVgrR1aoH/professional-portrait-of-healthcare-clin-1773332568848-79c18f1a.png?_wi=1",
|
||||
imageAlt: "Dr. Amara Okafor",
|
||||
},
|
||||
id: "3", name: "Dr. Amara Okafor", role: "Clinical Director", testimonial: "Our diabetic patients receive faster diagnoses and better guidance on severity levels. The confidence scores help us triage appropriately. RetinoCare AI has become indispensable to our care delivery model.", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3Aqts5cdOEz32EulCCrVgrR1aoH/professional-portrait-of-healthcare-clin-1773332568848-79c18f1a.png", imageAlt: "Dr. Amara Okafor"},
|
||||
{
|
||||
id: "4",
|
||||
name: "Prof. Michael Rodriguez",
|
||||
role: "Medical AI Researcher",
|
||||
testimonial: "From a research perspective, the Grad-CAM interpretability is excellent. We're using RetinoCare AI in our residency training program because it teaches learners exactly which retinal features indicate severity changes.",
|
||||
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3Aqts5cdOEz32EulCCrVgrR1aoH/professional-portrait-of-male-medical-re-1773332568948-6d85256d.png?_wi=1",
|
||||
imageAlt: "Prof. Michael Rodriguez",
|
||||
},
|
||||
id: "4", name: "Prof. Michael Rodriguez", role: "Medical AI Researcher", testimonial: "From a research perspective, the Grad-CAM interpretability is excellent. We're using RetinoCare AI in our residency training program because it teaches learners exactly which retinal features indicate severity changes.", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3Aqts5cdOEz32EulCCrVgrR1aoH/professional-portrait-of-male-medical-re-1773332568948-6d85256d.png", imageAlt: "Prof. Michael Rodriguez"},
|
||||
]}
|
||||
/>
|
||||
</div>
|
||||
@@ -395,40 +263,22 @@ export default function HomePage() {
|
||||
useInvertedBackground={false}
|
||||
mediaAnimation="slide-up"
|
||||
faqsAnimation="slide-up"
|
||||
imageSrc="https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3Aqts5cdOEz32EulCCrVgrR1aoH/professional-medical-support-and-faq-int-1773332569523-981a8e59.png?_wi=1"
|
||||
imageSrc="https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3Aqts5cdOEz32EulCCrVgrR1aoH/professional-medical-support-and-faq-int-1773332569523-981a8e59.png"
|
||||
imageAlt="Medical support professional"
|
||||
mediaPosition="right"
|
||||
faqs={[
|
||||
{
|
||||
id: "1",
|
||||
title: "What is the clinical validation status of RetinoCare AI?",
|
||||
content: "RetinoCare AI has been validated in peer-reviewed clinical studies with 98.5% accuracy on independent test datasets. The model was trained on over 50,000 fundus images and tested on 5,000+ images from diverse patient populations. All validation follows ISO 13485 medical device standards and FDA guidelines for AI/ML medical devices.",
|
||||
},
|
||||
id: "1", title: "What is the clinical validation status of RetinoCare AI?", content: "RetinoCare AI has been validated in peer-reviewed clinical studies with 98.5% accuracy on independent test datasets. The model was trained on over 50,000 fundus images and tested on 5,000+ images from diverse patient populations. All validation follows ISO 13485 medical device standards and FDA guidelines for AI/ML medical devices."},
|
||||
{
|
||||
id: "2",
|
||||
title: "How does Grad-CAM visualization work?",
|
||||
content: "Grad-CAM (Gradient-weighted Class Activation Mapping) generates visual explanations by computing gradients of the classification decision with respect to feature maps. This creates a heatmap showing which retinal regions most influenced the AI's severity classification. It helps clinicians understand the model's reasoning and builds trust in diagnostic recommendations.",
|
||||
},
|
||||
id: "2", title: "How does Grad-CAM visualization work?", content: "Grad-CAM (Gradient-weighted Class Activation Mapping) generates visual explanations by computing gradients of the classification decision with respect to feature maps. This creates a heatmap showing which retinal regions most influenced the AI's severity classification. It helps clinicians understand the model's reasoning and builds trust in diagnostic recommendations."},
|
||||
{
|
||||
id: "3",
|
||||
title: "Is patient data HIPAA compliant and secure?",
|
||||
content: "Yes. RetinoCare AI implements end-to-end encryption for data transmission and storage. All patient images are de-identified immediately upon upload. We maintain HIPAA compliance with regular security audits, role-based access controls, and audit logging of all data access. Data retention policies are configurable per institutional requirements.",
|
||||
},
|
||||
id: "3", title: "Is patient data HIPAA compliant and secure?", content: "Yes. RetinoCare AI implements end-to-end encryption for data transmission and storage. All patient images are de-identified immediately upon upload. We maintain HIPAA compliance with regular security audits, role-based access controls, and audit logging of all data access. Data retention policies are configurable per institutional requirements."},
|
||||
{
|
||||
id: "4",
|
||||
title: "Can RetinoCare AI replace ophthalmologist diagnosis?",
|
||||
content: "RetinoCare AI is designed as a clinical decision support tool, not a replacement for professional ophthalmologists. Results should always be reviewed by qualified eye care professionals. The technology excels at screening, flagging concerning cases, and accelerating workflow—allowing specialists to focus on complex cases requiring human expertise.",
|
||||
},
|
||||
id: "4", title: "Can RetinoCare AI replace ophthalmologist diagnosis?", content: "RetinoCare AI is designed as a clinical decision support tool, not a replacement for professional ophthalmologists. Results should always be reviewed by qualified eye care professionals. The technology excels at screening, flagging concerning cases, and accelerating workflow—allowing specialists to focus on complex cases requiring human expertise."},
|
||||
{
|
||||
id: "5",
|
||||
title: "What image quality standards are required?",
|
||||
content: "Standard 45-degree fundus photographs are optimal. Minimum image resolution is 512x512 pixels. The system handles slight artifacts and varying lighting conditions. For best results, use certified fundus cameras. Mobile phone images require good lighting but are not recommended for clinical diagnosis without professional imaging.",
|
||||
},
|
||||
id: "5", title: "What image quality standards are required?", content: "Standard 45-degree fundus photographs are optimal. Minimum image resolution is 512x512 pixels. The system handles slight artifacts and varying lighting conditions. For best results, use certified fundus cameras. Mobile phone images require good lighting but are not recommended for clinical diagnosis without professional imaging."},
|
||||
{
|
||||
id: "6",
|
||||
title: "How does the severity classification compare to ICDR standards?",
|
||||
content: "RetinoCare AI severity levels align with the International Clinical Diabetic Retinopathy classification: No DR, Mild, Moderate, Severe, and Proliferative. Confidence scores for each level provide quantitative assessment. This standardization ensures compatibility with existing clinical protocols and international guidelines.",
|
||||
},
|
||||
id: "6", title: "How does the severity classification compare to ICDR standards?", content: "RetinoCare AI severity levels align with the International Clinical Diabetic Retinopathy classification: No DR, Mild, Moderate, Severe, and Proliferative. Confidence scores for each level provide quantitative assessment. This standardization ensures compatibility with existing clinical protocols and international guidelines."},
|
||||
]}
|
||||
/>
|
||||
</div>
|
||||
@@ -450,72 +300,45 @@ export default function HomePage() {
|
||||
|
||||
<div id="footer" data-section="footer">
|
||||
<FooterMedia
|
||||
imageSrc="https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3Aqts5cdOEz32EulCCrVgrR1aoH/professional-medical-team-in-laboratory--1773332569649-1ffb8db3.png?_wi=1"
|
||||
imageSrc="https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3Aqts5cdOEz32EulCCrVgrR1aoH/professional-medical-team-in-laboratory--1773332569649-1ffb8db3.png"
|
||||
imageAlt="Medical team collaboration"
|
||||
logoText="RetinoCare AI"
|
||||
copyrightText="© 2025 RetinoCare AI. All rights reserved."
|
||||
columns={[
|
||||
{
|
||||
title: "Product",
|
||||
items: [
|
||||
title: "Product", items: [
|
||||
{
|
||||
label: "Features",
|
||||
href: "#features",
|
||||
},
|
||||
label: "Features", href: "#features"},
|
||||
{
|
||||
label: "Pricing",
|
||||
href: "/pricing",
|
||||
},
|
||||
label: "Pricing", href: "/pricing"},
|
||||
{
|
||||
label: "Security",
|
||||
href: "#security",
|
||||
},
|
||||
label: "Security", href: "#security"},
|
||||
{
|
||||
label: "API Documentation",
|
||||
href: "#api",
|
||||
},
|
||||
label: "API Documentation", href: "#api"},
|
||||
],
|
||||
},
|
||||
{
|
||||
title: "Clinical",
|
||||
items: [
|
||||
title: "Clinical", items: [
|
||||
{
|
||||
label: "Validation Studies",
|
||||
href: "#studies",
|
||||
},
|
||||
label: "Validation Studies", href: "#studies"},
|
||||
{
|
||||
label: "Clinical Guidelines",
|
||||
href: "#guidelines",
|
||||
},
|
||||
label: "Clinical Guidelines", href: "#guidelines"},
|
||||
{
|
||||
label: "Training Resources",
|
||||
href: "#training",
|
||||
},
|
||||
label: "Training Resources", href: "#training"},
|
||||
{
|
||||
label: "Research",
|
||||
href: "#research",
|
||||
},
|
||||
label: "Research", href: "#research"},
|
||||
],
|
||||
},
|
||||
{
|
||||
title: "Company",
|
||||
items: [
|
||||
title: "Company", items: [
|
||||
{
|
||||
label: "About Us",
|
||||
href: "/about",
|
||||
},
|
||||
label: "About Us", href: "/about"},
|
||||
{
|
||||
label: "Contact",
|
||||
href: "#contact",
|
||||
},
|
||||
label: "Contact", href: "#contact"},
|
||||
{
|
||||
label: "Privacy Policy",
|
||||
href: "#privacy",
|
||||
},
|
||||
label: "Privacy Policy", href: "#privacy"},
|
||||
{
|
||||
label: "Terms of Service",
|
||||
href: "#terms",
|
||||
},
|
||||
label: "Terms of Service", href: "#terms"},
|
||||
],
|
||||
},
|
||||
]}
|
||||
|
||||
Reference in New Issue
Block a user