Evaluation of AI-enhanced non-mydriatic fundus photography for diabetic retinopathy screening.

Journal: Photodiagnosis and photodynamic therapy

PMID: 39245303

Abstract

OBJECTIVE: To assess the feasibility of using non-mydriatic fundus photography in conjunction with an artificial intelligence (AI) reading platform for large-scale screening of diabetic retinopathy (DR).

Authors

Chen-Liang Hu

Department of endocrinology, Huangshan city People's Hospital, Huangshan 245000, China. Electronic address: huchenliang_hu@126.com.
Yu-Chan Wang

Department of endocrinology, Huangshan city People's Hospital, Huangshan 245000, China.
Wen-Fang Wu

Department of ophthalmology, Huangshan city People's Hospital, Huangshan 245000, China.
Yu Xi

Department of endocrinology, Huangshan city People's Hospital, Huangshan 245000, China.

Keywords

Adult Aged Artificial Intelligence Diabetic Retinopathy Feasibility Studies Female Fluorescein Angiography Fundus Oculi Humans Male Middle Aged Photography Sensitivity and Specificity

External Resources

View on PubMed Access via DOI PubMed (39245303)

Evaluation of AI-enhanced non-mydriatic fundus photography for diabetic retinopathy screening.

Abstract

Authors

Keywords

External Resources

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