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Advances in artificial intelligence models and algorithms in the field of optometry.
Wang, Suyu; Ji, Yuke; Bai, Wen; Ji, Yun; Li, Jiajun; Yao, Yujia; Zhang, Ziran; Jiang, Qin; Li, Keran.
Afiliación
  • Wang S; Department of Ophthalmology, The Affiliated Eye Hospital of Nanjing Medical University, Nanjing, China.
  • Ji Y; The Fourth School of Clinical Medicine, Nanjing Medical University, Nanjing, China.
  • Bai W; Department of Ophthalmology, The Affiliated Eye Hospital of Nanjing Medical University, Nanjing, China.
  • Ji Y; The Fourth School of Clinical Medicine, Nanjing Medical University, Nanjing, China.
  • Li J; Department of Ophthalmology, The Affiliated Eye Hospital of Nanjing Medical University, Nanjing, China.
  • Yao Y; The Fourth School of Clinical Medicine, Nanjing Medical University, Nanjing, China.
  • Zhang Z; Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China.
  • Jiang Q; Department of Ophthalmology, The Affiliated Eye Hospital of Nanjing Medical University, Nanjing, China.
  • Li K; The Fourth School of Clinical Medicine, Nanjing Medical University, Nanjing, China.
Front Cell Dev Biol ; 11: 1170068, 2023.
Article en En | MEDLINE | ID: mdl-37187617
ABSTRACT
The rapid development of computer science over the past few decades has led to unprecedented progress in the field of artificial intelligence (AI). Its wide application in ophthalmology, especially image processing and data analysis, is particularly extensive and its performance excellent. In recent years, AI has been increasingly applied in optometry with remarkable results. This review is a summary of the application progress of different AI models and algorithms used in optometry (for problems such as myopia, strabismus, amblyopia, keratoconus, and intraocular lens) and includes a discussion of the limitations and challenges associated with its application in this field.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Front Cell Dev Biol Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: CH / SUIZA / SUÍÇA / SWITZERLAND

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Front Cell Dev Biol Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: CH / SUIZA / SUÍÇA / SWITZERLAND