Deep learning algorithms to detect diabetic kidney disease from retinal photographs in multiethnic populations with diabetes

OBJECTIVE: To develop a deep learning algorithm (DLA) to detect diabetic kideny disease (DKD) from retinal photographs of patients with diabetes, and evaluate performance in multiethnic populations. MATERIALS AND METHODS: We trained 3 models: (1) image-only; (2) risk factor (RF)-only multivariable l...

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Detalles Bibliográficos
Autores principales: Betzler, Bjorn Kaijun, Chee, Evelyn Yi Lyn, He, Feng, Lim, Cynthia Ciwei, Ho, Jinyi, Hamzah, Haslina, Tan, Ngiap Chuan, Liew, Gerald, McKay, Gareth J, Hogg, Ruth E, Young, Ian S, Cheng, Ching-Yu, Lim, Su Chi, Lee, Aaron Y, Wong, Tien Yin, Lee, Mong Li, Hsu, Wynne, Tan, Gavin Siew Wei, Sabanayagam, Charumathi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Research and Applications
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10654858/
https://www.ncbi.nlm.nih.gov/pubmed/37659103
http://dx.doi.org/10.1093/jamia/ocad179

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10654858/
https://www.ncbi.nlm.nih.gov/pubmed/37659103
http://dx.doi.org/10.1093/jamia/ocad179

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