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

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

Objective: 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...

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Bibliographic Details
Main Authors: 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, David Myung, MD, PhD
Format: Article
Language:English
Published: Elsevier 2023-12-01
Series:Ophthalmology Science
Subjects:
Artificial intelligence
Deep learning
Diabetic retinopathy
Human-in-the-loop
Teleophthalmology
Online Access:http://www.sciencedirect.com/science/article/pii/S2666914523000623

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http://www.sciencedirect.com/science/article/pii/S2666914523000623

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