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Committed to Ethical AI Healthcare
Explore our journey as a leading AI diagnostic healthcare technology company, committed to transforming healthcare quality, accessibility, and affordability worldwide.
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Digital Diagnostics is the first company to receive FDA clearance for an AI diagnostic platform that makes a diagnosis without physician input.
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Luminetics™ Products: Eye Disease
Luminetics™
Diagnose diabetic retinopathy at the point-of-care and generate results without physician evaluation.
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Effectiveness of artificial intelligence screening in preventing vision loss from diabetes: a policy model
Publication: npj Digital Medicine
Implementation of Point-of-Care Diabetic Retinal Exams Using Autonomous AI in a Federally Qualified Health Center
Publication: NJ Academy of Family Medicine
Autonomous artificial intelligence for diabetic eye disease increases access and health equity in underserved populations
Publication: npj digital medicine
Scaling Adoption of Medical AI — Reimbursement from Value-Based Care and Fee-for-Service Perspectives
Publication: New England Journal of Medicine AI
Characterizing the Clinical Adoption of Medical AI Devices through U.S. Insurance Claims
Urban Health Plans White Paper
Autonomous artificial intelligence increases real-world specialist clinic productivity in a cluster-randomized trial
AbsoluteCare White Paper
Considerations for addressing bias in artificial intelligence for health equity
Artificial Intelligence Improves Patient Follow-Up in a Diabetic Retinopathy Screening Program
Publication: Clinical Ophthalmology
Autonomous AI at Point-of-Care Improves Eye Exam Rates for Patients with Diabetes
Publication: NACHC-CHI
AI-Human Hybrid Workflow Enhances Teleophthalmology for the Detection of Diabetic Retinopathy
Publication: Ophthalmology Science
Determinants for scalable adoption of autonomous AI in the detection of diabetic eye disease in diverse practice types: key best practices learned through collection of real-world data
Publication: Frontiers in Digital Health
Tarzana Treatment Centers White Paper
Diabetic Retinopathy Telemedicine Outcomes With Artificial Intelligence-Based Image Analysis, Reflex Dilation, and Image Overread
Publication: American Journal of Ophthalmology
Cahaba Medical Care White Paper
A reimbursement framework for artificial intelligence in healthcare
Potential reduction in healthcare carbon footprint by autonomous artificial intelligence
Parkview Health White Paper
Comparison of early diabetic retinopathy staging in asymptomatic patients between autonomous AI-based screening and human-graded ultra-widefield colour fundus images
Publication: National Library of Medicine
Foundational Considerations for Artificial Intelligence Utilizing Ophthalmic Images
Publication: American Academy of Ophthalmology
Johns Creek Primary Care White Paper
Analysis and Comparison of Two Artificial Intelligence Diabetic Retinopathy Screening Algorithms in a Pilot Study: IDx-DR and Retinalyze
Identifying Ethical Considerations for Machine Learning Healthcare Applications
Publication: The American Journal of Bioethics
A Framework to Evaluate Ethical Considerations with ML-HCA Applications—Valuable, Even Necessary, but Never Comprehensive
Blessing Health White Paper
Testing for Diabetic Retinopathy in Primary Care
University Medical Center White Paper
Automated and Computer-Assisted Detection, Classification, and Diagnosis of Diabetic Retinopathy
Publication: American Telemedicine Association
Practice Guidelines for Ocular Telehealth-Diabetic Retinopathy, Third Edition
Publication: Practice Guidelines for Ocular Telehealth-Diabetic Retinopathy, Third Edition
Validation of Automated Screening for Referable Diabetic Retinopathy With an Autonomous Diagnostic Artificial Intelligence System in a Spanish Population
Publication: Journal of Diabetes Science and Technology
Lessons Learned About Autonomous AI: Finding a Safe, Efficacious, and Ethical Path Through the Development Process
Autonomous Artificial Intelligence in Diabetic Retinopathy: From Algorithm to Clinical Application
A pilot autonomous AI‐based DR screening in Poland
Publication: Acta Ophthalmologica
Diagnostic Accuracy of a Device for the Automated Detection of Diabetic Retinopathy in a Primary Care Setting
Publication: American Diabetes Association
Pivotal trial of an autonomous AI-based diagnostic system for detection of diabetic retinopathy in primary care offices
Publication: Nature Digital Medicine
LumineticsCore™ (formerly known as IDx-DR) Pivotal Trial
Validation of automated screening for referable diabetic retinopathy with the LumineticsCore (formerly known as IDx-DR) device in the Hoorn Diabetes Care System
Improved Automated Detection of Diabetic Retinopathy on a Publicly Available Dataset Through Integration of Deep Learning
Publication: Investigative Ophthalmology & Visual Science Volume 57, Issue 13
