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A deep learning model for screening type 2 diabetes from retinal photographs.
Yun, Jae-Seung; Kim, Jaesik; Jung, Sang-Hyuk; Cha, Seon-Ah; Ko, Seung-Hyun; Ahn, Yu-Bae; Won, Hong-Hee; Sohn, Kyung-Ah; Kim, Dokyoon.
Afiliación
  • Yun JS; Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Division of Endocrinology and Metabolism, Department of Internal Medicine, St. Vincent's Hospital, College of Medicine, The Catholic University of Korea, Seoul,
  • Kim J; Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Department of Computer Engineering, Ajou University, Suwon, Republic of Korea; Institute for Biomedical Informatics, University of Pennsylvania, Philadelphia, PA
  • Jung SH; Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Institute for Biomedical Informatics, University of Pennsylvania, Philadelphia, PA, USA; Samsung Advanced Institute for Health Sciences and Technology (SAIHST),
  • Cha SA; Division of Endocrinology and Metabolism, Department of Internal Medicine, St. Vincent's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
  • Ko SH; Division of Endocrinology and Metabolism, Department of Internal Medicine, St. Vincent's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
  • Ahn YB; Division of Endocrinology and Metabolism, Department of Internal Medicine, St. Vincent's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
  • Won HH; Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Samsung Medical Center, Seoul, Republic of Korea.
  • Sohn KA; Department of Computer Engineering, Ajou University, Suwon, Republic of Korea; Department of Artificial Intelligence, Ajou University, Suwon, Republic of Korea. Electronic address: kasohn@ajou.ac.kr.
  • Kim D; Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Institute for Biomedical Informatics, University of Pennsylvania, Philadelphia, PA, USA. Electronic address: dokyoon.kim@pennmedicine.upenn.edu.
Nutr Metab Cardiovasc Dis ; 32(5): 1218-1226, 2022 05.
Article en En | MEDLINE | ID: mdl-35197214
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Diabetes Mellitus Tipo 2 / Aprendizaje Profundo Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Límite: Humans Idioma: En Revista: Nutr Metab Cardiovasc Dis Asunto de la revista: ANGIOLOGIA / CARDIOLOGIA / CIENCIAS DA NUTRICAO / METABOLISMO Año: 2022 Tipo del documento: Article
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Diabetes Mellitus Tipo 2 / Aprendizaje Profundo Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Límite: Humans Idioma: En Revista: Nutr Metab Cardiovasc Dis Asunto de la revista: ANGIOLOGIA / CARDIOLOGIA / CIENCIAS DA NUTRICAO / METABOLISMO Año: 2022 Tipo del documento: Article