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Reinforcement learning in ophthalmology: potential applications and challenges to implementation.
Nath, Siddharth; Korot, Edward; Fu, Dun Jack; Zhang, Gongyu; Mishra, Kapil; Lee, Aaron Y; Keane, Pearse A.
Afiliação
  • Nath S; Department of Ophthalmology and Visual Sciences, McGill University, Montreal, QC, Canada; National Institute for Health Research, Biomedical Research Centre for Ophthalmology, Moorfields Eye Hospital NHS Foundation Trust, UCL Institute of Ophthalmology, London, UK.
  • Korot E; National Institute for Health Research, Biomedical Research Centre for Ophthalmology, Moorfields Eye Hospital NHS Foundation Trust, UCL Institute of Ophthalmology, London, UK; Byers Eye Institute, Stanford University, Palo Alto, CA, USA.
  • Fu DJ; National Institute for Health Research, Biomedical Research Centre for Ophthalmology, Moorfields Eye Hospital NHS Foundation Trust, UCL Institute of Ophthalmology, London, UK; Department of Ophthalmology, University of Washington, Seattle, WA, USA.
  • Zhang G; National Institute for Health Research, Biomedical Research Centre for Ophthalmology, Moorfields Eye Hospital NHS Foundation Trust, UCL Institute of Ophthalmology, London, UK.
  • Mishra K; Byers Eye Institute, Stanford University, Palo Alto, CA, USA.
  • Lee AY; Department of Ophthalmology, University of Washington, Seattle, WA, USA.
  • Keane PA; National Institute for Health Research, Biomedical Research Centre for Ophthalmology, Moorfields Eye Hospital NHS Foundation Trust, UCL Institute of Ophthalmology, London, UK. Electronic address: pearse.keane1@nhs.net.
Lancet Digit Health ; 4(9): e692-e697, 2022 09.
Article em En | MEDLINE | ID: mdl-35906132
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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Oftalmologia Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Lancet Digit Health Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Reino Unido
Texto completo
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XML
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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Oftalmologia Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Lancet Digit Health Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Reino Unido