RetinAI Discovery
Overview
RetinAI Discovery is a CE-Marked and FDA-cleared medical image and data management platform with integrated AI modules. It is designed to aggregate data and extract automatic insights on patient diseases and outcomes in ophthalmology. The platform can be configured to connect to PACS or integrate via API calls with existing clinic systems, providing a secure, cloud-based solution with real-time data access. Its AI modules are used for analyzing OCT and fundus images to detect and monitor various retinal pathologies, including diabetic retinopathy, diabetic macular edema, glaucoma, and geographic atrophy. The platform also supports patient selection for clinical trials by identifying biomarkers and quantifying fluid and layers in retinal pathologies. For clinics and hospitals, it offers a unified medical and imaging data platform, while for life sciences and pharma, it accelerates R&D and real-world evidence generation.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Key Features
- CE-Marked medical image and data management platform
- Certified AI Models for automatic insights (fluid, layer segmentation, biomarkers)
- Aggregates data across multiple imaging types (OCT, Fundus, DICOM, PDF, JPEG, PNG, TIFF)
- Connects to PACS or integrates via API calls with clinic systems
- Secure, cloud-based platform with real-time data access
- AI-powered patient selection and stratification for clinical trials
- Tele-Ophthalmology platform for remote collaboration and case sharing
- Automated OCT data synchronization via Discovery CONNECT
- Vendor-neutral platform compatible with major OCT devices (Heidelberg, Zeiss, Topcon)
- Patient Passport feature for patients to access their clinical data
Use Cases
- Data connectivity and aggregation for ophthalmology clinics and hospitals
- Patient selection and stratification for clinical studies and trials using AI
- Tele-Ophthalmology for remote collaboration, management, and peer referrals
- Accelerating R&D and drug development for pharmaceutical and life sciences companies
- Real-world evidence generation and analysis in ophthalmology
- Monitoring and evaluating disease progression and treatment outcomes over time
What Physicians Need to Know
Leverage the unified platform to manage all patient data (OCTs, Fundus, etc.) from various devices, reducing the need for multiple viewers and enhancing data harmonization. Utilize the CE-marked LuxIAu00ae AI model for efficient and accurate screening of more-than-mild Diabetic Retinopathy, facilitating timely referrals. Employ the AI models for advanced analysis of macular diseases, including precise retinal layer segmentation, fluid volume assessment, and geographic atrophy progression prediction, to optimize treatment decisions and patient monitoring. Integrate Discovery CONNECTu00ae for automated, real-time upload of OCT data, streamlining workflows and providing immediate access to scans for faster diagnostics. Use the platform's tele-ophthalmology features for secure, real-time peer referrals and enhanced communication, especially in multi-center settings or for remote consultations. Capitalize on the progression analytics and visualization tools to educate patients on their disease progression and treatment outcomes, improving engagement.
RetinAI Discovery is a vendor-neutral, multi-modality platform compatible with various imaging devices (e.g., Heidelberg, Zeiss, and Topcon OCT devices). It can connect to PACS or integrate via API calls with existing clinic systems. Discovery CONNECTu00ae automates data uploads from OCT devices, supporting Windows, Linux, or macOS. The platform supports DICOM-compliant and other image formats and integrates electronic case report forms (eCRFs) for collecting clinical data.
Details
| Category | Ophthalmology AI |
| Pricing |
Contact for pricing
|
| Deployment | Cloud-based |
| Compliance | |
| BAA Available | Unknown AI-estimated |
| HIPAA Compliant | Unknown AI-estimated |
| FDA Status |
1 AI-estimated RetinAI Discovery® platform is a medical device cleared for clinical use by the FDA. The AI modules for biomarkers, fluid, and layer segmentation and quantification in retinal pathologies are designated as Research Use Only (RUO) in the USA. |
| Integrations | |
| EHR | Not specified |
| Specialties | Ophthalmology |
What the Web Says
RetinAI Discovery is a cloud-based, AI-powered platform designed to enhance ophthalmic research and clinical workflows by analyzing medical imaging data, such as OCT and fundus images. It aims to accelerate research analysis, support clinical decision-making, and improve patient management in retinal diseases like diabetic retinopathy and age-related macular degeneration. The platform is FDA 510(k)-cleared and complies with HIPAA and GDPR regulations, offering features for data management, AI-driven biomarker quantification, and collaborative research.
Overall: PositiveStrengths
- Accelerates research analysis and clinical decision workflows through AI-powered insights.
- Provides automated and immediate analysis of OCT and fundus images, quantifying biomarkers and fluid volumes.
- Supports multi-site collaboration and real-world evidence generation for clinical trials and research.
- Offers progression analytics and visualizations to track disease trends and enhance patient engagement.
- Vendor-neutral and multi-modality, accepting various data formats (DICOM, JPEG, PNG, PDF).
- Cloud-based, GDPR and HIPAA-compliant, ensuring secure data management and real-time visibility.
Limitations
- Limited public reviews available on platforms like G2, Capterra, and Reddit, making it difficult to gauge widespread user sentiment.
- G2 indicates that there are not enough reviews to provide comprehensive buying insight.
- Specificity of the LuxIA algorithm (integrated into Discovery) for diabetic retinopathy screening showed variability across different datasets.
- The accuracy of AI medical devices can be affected by image quality and imaging technology used.
- Lack of consensus on evidence requirements for AI medical devices in ophthalmology.
- Potential cost-prohibitive nature for some physicians to routinely access services for data annotation.
Based on reviews from: G2, Ophthalmology Times, The Ophthalmologist, Retinal Physician, Clinical Insights in Eyecare, ResearchGate, YouTube (RetinAI's channel), RetinAI (official website), Verve Ventures, TVST (Translational Vision Science & Technology), PubMed Central
Last updated: 2026-07-21
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Press & Coverage
Videos
Product demos, reviews, and walkthroughs for RetinAI Discovery.
Introduction to Discovery for Clinics
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Integrating RetinAI Discovery Clinics in a Real World Setting: Addressing AMD & GA
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Elevate your case reviews with Discoveryu00ae for Clinics
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Frequently Asked Questions
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