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AI-Human Hybrid Workflow Enhances Teleophthalmology for the Detection of Diabetic Retinopathy

Publications | May 12, 2023

AI-Human Hybrid Workflow Enhances Teleophthalmology for the Detection of Diabetic Retinopathy

Publication: Ophthalmology Science   |   Author: Eliot R. Dow, MD, PhD, Nergis C. Khan, BS, Karen M. Chen, BS, Kapil Mishra, MD, Chandrashan Perera, MD, Ramsudha Narala, MD, Marina Basina, MD, Jimmy Dang, BSN, Michael Kim, MD, Marcie Levine, MD, Anuradha Phadke, MD, Marilyn Tan, MD, Kirsti Weng, MD, Diana V. Do, MD, Darius M. Moshfeghi, MD, Vinit B. Mahajan, MD, PhD, Prithvi Mruthyunjaya, MD, MHS, Theodore Leng, MD, MS, and David Myung, MD, PhD

Detection of diabetic retinopathy (DR) outside of specialized eye care settings is an important means of access to vision-preserving health maintenance. Remote interpretation of fundus photographs acquired in a primary care or other nonophthalmic setting in a store-and-forward manner is a predominant paradigm of teleophthalmology screening programs. Artificial intelligence (AI)-based image interpretation offers an alternative means of DR detection. IDx-DR (Digital Diagnostics Inc) is a Food and Drug Administration-authorized autonomous testing device for DR. We evaluated the diagnostic performance of IDx-DR compared with human-based teleophthalmology over 2 and a half years. Additionally, we evaluated an AI-human hybrid workflow that combines AI-system evaluation with human expert-based assessment for referable cases.

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