Your browser doesn't support javascript.
loading
An Outperforming Artificial Intelligence Model to Identify Referable Blepharoptosis for General Practitioners.
Hung, Ju-Yi; Chen, Ke-Wei; Perera, Chandrashan; Chiu, Hsu-Kuang; Hsu, Cherng-Ru; Myung, David; Luo, An-Chun; Fuh, Chiou-Shann; Liao, Shu-Lang; Kossler, Andrea Lora.
Afiliación
  • Hung JY; Ophthalmology, Byers Eye Institute, Stanford University School of Medicine, 2452 Watson Court, Palo Alto, CA 94303, USA.
  • Chen KW; Department of Computer Science and Information Engineering, National Taiwan University, Taipei 10617, Taiwan.
  • Perera C; Ophthalmology, Byers Eye Institute, Stanford University School of Medicine, 2452 Watson Court, Palo Alto, CA 94303, USA.
  • Chiu HK; Department of Biomedical Engineering, National Cheng Kung University, Tainan City 70101, Taiwan.
  • Hsu CR; Ophthalmology, Byers Eye Institute, Stanford University School of Medicine, 2452 Watson Court, Palo Alto, CA 94303, USA.
  • Myung D; Computer Science, Stanford University, Stanford, CA 94305, USA.
  • Luo AC; Ophthalmology, Tri-Service General Hospital, National Defense Medical Center, Taipei 114, Taiwan.
  • Fuh CS; Ophthalmology, Byers Eye Institute, Stanford University School of Medicine, 2452 Watson Court, Palo Alto, CA 94303, USA.
  • Liao SL; Department of Electronic and Optoelectronic System Research Laboratories, Industrial Technology Research Institute, Hsinchu 31040, Taiwan.
  • Kossler AL; Department of Computer Science and Information Engineering, National Taiwan University, Taipei 10617, Taiwan.
J Pers Med ; 12(2)2022 Feb 15.
Article en En | MEDLINE | ID: mdl-35207771

Texto completo: 1 Base de datos: MEDLINE Idioma: En Revista: J Pers Med Año: 2022 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Idioma: En Revista: J Pers Med Año: 2022 Tipo del documento: Article