Assessing adoption of human and AI-enabled diabetic retinopathy screening in primary healthcare settings: findings from a pragmatic trial

Abstract Introduction Diabetic retinopathy (DR) screening with defined referral pathways is essential for early detection and effective management of DR. This study assessed the adoption of three DR screening (DRS) models in primary healthcare settings, focusing on referral adherence rates and stake...

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Autores principales:	Anshul Chauhan, Luke Vale, Ankita Kankaria, Vishali Gupta, Gagandeep Kaur, Neha N., Nayanshi Sood, Basavaraj Tigari, Sanjay Bhadada, Mona Duggal
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	BMC 2025-11-01
Colección:	Archives of Public Health
Materias:	Diabetic retinopathy screening Artificial intelligence Primary healthcare settings Adoption
Acceso en línea:	https://doi.org/10.1186/s13690-025-01757-3
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