Multimodal deep learning of fundus abnormalities and traditional risk factors for cardiovascular risk prediction.

Lee, Yeong Chan; Cha, Jiho; Shim, Injeong; Park, Woong-Yang; Kang, Se Woong; Lim, Dong Hui; Won, Hong-Hee

Lee, Yeong Chan; Cha, Jiho; Shim, Injeong; Park, Woong-Yang; Kang, Se Woong; Lim, Dong Hui; Won, Hong-Hee.

Afiliación

Lee YC; Department of Digital Health, Samsung Advanced Institute for Health Sciences & Technology (SAIHST), Sungkyunkwan University, Samsung Medical Center, Seoul, Republic of Korea.
Cha J; Research Institute for Future Medicine, Samsung Medical Center, Seoul, Republic of Korea.
Shim I; Graduate School of Future Strategy, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.
Park WY; Department of Digital Health, Samsung Advanced Institute for Health Sciences & Technology (SAIHST), Sungkyunkwan University, Samsung Medical Center, Seoul, Republic of Korea.
Kang SW; Samsung Genome Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Lim DH; Department of Ophthalmology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Won HH; Department of Digital Health, Samsung Advanced Institute for Health Sciences & Technology (SAIHST), Sungkyunkwan University, Samsung Medical Center, Seoul, Republic of Korea. donghui.lim@samsung.com.

NPJ Digit Med ; 6(1): 14, 2023 Feb 02.

Article en En | MEDLINE | ID: mdl-36732671

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: NPJ Digit Med Año: 2023 Tipo del documento: Article

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