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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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About Digital Diagnostics
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History of Digital Diagnostics
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Founder Story
Learn how Michael Abramoff, MD, PhD, transformed healthcare with AI built on an ethical foundation.
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Leadership
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Diversity, Equity & Inclusion
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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.
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Luminetics™ Products: Eye Disease
LumineticsCore™
Diagnose diabetic retinopathy at the point-of-care and generate results without physician evaluation.
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Research Opportunities
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Scaling Adoption of Medical AI — Reimbursement from Value-Based Care and Fee-for-Service Perspectives
Publication: New England Journal of Medicine AI
Foundational Considerations for Artificial Intelligence Utilizing Ophthalmic Images
Publication: American Academy of Ophthalmology
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
Publication: American Journal of Ophthalmology
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