Transforming Non-Digital, Clinical Workflows to Detect and Track Vision-Threatening Diabetic Retinopathy via a Digital Platform Integrating Artificial Intelligence: Implementation Research

Transforming Non-Digital, Clinical Workflows to Detect and Track Vision-Threatening Diabetic Retinopathy via a Digital Platform Integrating Artificial Intelligence: Implementation Research

Abstract Introduction Screening diabetic retinopathy (DR) for timely management can reduce global blindness. Many existing DR screening programs worldwide are non-digital, standalone, and deployed with grading retinal photographs by trained personnel. To integrate the screening programs, with or wit...

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Main Authors: Peranut Chotcomwongse, Paisan Ruamviboonsuk, Chaiwat Karavapitayakul, Koblarp Thongthong, Anyarak Amornpetchsathaporn, Methaphon Chainakul, Malee Triprachanath, Eckachai Lerdpanyawattananukul, Niracha Arjkongharn, Varis Ruamviboonsuk, Nattaporn Vongsa, Pawin Pakaymaskul, Turean Waiwaree, Hathaiphan Ruampunpong, Richa Tiwari, Viroj Tangcharoensathien
Format: Article
Language:English
Published: Adis, Springer Healthcare 2025-01-01
Series:Ophthalmology and Therapy
Subjects:
Diabetic retinopathy
Vision-threatening diabetic retinopathy
Artificial intelligence
Digital health
Real-world implementation
Online Access:https://doi.org/10.1007/s40123-024-01086-8
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https://doi.org/10.1007/s40123-024-01086-8

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