Cost-Utility Analysis of Deep Learning and Trained Human Graders for Diabetic Retinopathy Screening in a Nationwide Program

Cost-Utility Analysis of Deep Learning and Trained Human Graders for Diabetic Retinopathy Screening in a Nationwide Program

Abstract Introduction Deep learning (DL) for screening diabetic retinopathy (DR) has the potential to address limited healthcare resources by enabling expanded access to healthcare. However, there is still limited health economic evaluation, particularly in low- and middle-income countries, on this...

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Bibliographic Details
Main Authors: Attasit Srisubat, Kankamon Kittrongsiri, Sermsiri Sangroongruangsri, Chalida Khemvaranan, Jacqueline Baras Shreibati, Jack Ching, John Hernandez, Richa Tiwari, Fred Hersch, Yun Liu, Prut Hanutsaha, Varis Ruamviboonsuk, Saowalak Turongkaravee, Rajiv Raman, Paisan Ruamviboonsuk
Format: Article
Language:English
Published: Adis, Springer Healthcare 2023-02-01
Series:Ophthalmology and Therapy
Subjects:
Cost-utility analysis
Health economics
Diabetic retinopathy
Artificial intelligence
Public health
Online Access:https://doi.org/10.1007/s40123-023-00688-y

Internet

https://doi.org/10.1007/s40123-023-00688-y

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