NVIDIA Spotlights Digital Diagnostics as AI Healthcare Pioneer at GTC 2025 - Read the Press Release Read More
Schedule a Meeting
Overview
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.
Learn More About Us
About
About Digital Diagnostics
Find out how Digital Diagnostics pioneers AI-driven healthcare, enhancing accessibility, affordability, and quality.
Learn about Digital Diagnostics
History of Digital Diagnostics
Discover how Digital Diagnostics is revolutionizing AI in healthcare.
View Our History
Founder Story
Learn how Michael Abramoff, MD, PhD, transformed healthcare with AI built on an ethical foundation.
View Founder Story
Leadership
Meet the team driving innovation and collaboration in healthcare at Digital Diagnostics.
Meet Our Leadership
Business Ethics
Join Digital Diagnostics as we build healthcare AI from an ethical foundation.
More About Business Ethics
AI the Right Way
Digital Diagnostics is the first company to receive FDA clearance for an AI diagnostic platform that makes a diagnosis without physician input.
Learn More About Our Products
Luminetics™ Products: Eye Disease
Luminetics™
Diagnose diabetic retinopathy at the point-of-care and generate results without physician evaluation.
More About LumineticsCore™
Luminetics™ Product Line Training
Engage in comprehensive LumineticsCore training and support.
Start Product Training
Exploring Resources and Education
Learn more about Digital Diagnostics events and media, read customer stories, and find answers to frequently asked questions.
Learn More About Our Resources
Resources
Papers/Trials
Dive into the latest research and publications in healthcare AI.
View Papers/Trials
Digital Media
Explore video and podcast episodes featuring Digital Diagnostics.
View Digital Media
Events
Discover upcoming Digital Diagnostics events, tradeshows, and speaking engagements.
View Events
Newsroom
Learn more about company updates, industry news, and healthcare AI insights.
View Newsroom
FAQ
Find answers to frequently asked questions about Digital Diagnostics and LumineticsCore.
View FAQs
Insights
Learn more about healthcare AI insights.
View Insights
Connect With Our Team
To learn more about Digital Diagnostics and our commitment to providing quality global healthcare with AI.
Explore Ways to Contact Us
Contact
Contact Us
Reach out to the team with questions or to find out more about Digital Diagnostics or LumineticsCore.
Contact Us Now
Get Support
Visit the help center to find answers about specific products.
Get Support Here
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
Autonomous artificial intelligence increases real-world specialist clinic productivity in a cluster-randomized trial
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
Diabetic Retinopathy Telemedicine Outcomes With Artificial Intelligence-Based Image Analysis, Reflex Dilation, and Image Overread
Publication: American Journal of Ophthalmology
A reimbursement framework for artificial intelligence in healthcare
Potential reduction in healthcare carbon footprint by autonomous artificial intelligence
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
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
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
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
