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The era of artificial intelligence-based individualized telemedicine is coming.
Jheng, Ying-Chun; Kao, Chung-Lan; Yarmishyn, Aliaksandr A; Chou, Yu-Bai; Hsu, Chih-Chien; Lin, Tai-Chi; Hu, Hou-Kai; Ho, Ta-Kai; Chen, Po-Yin; Kao, Zih-Kai; Chen, Shih-Jen; Hwang, De-Kuang.
  • Jheng YC; Department of Medical Research, Taipei Veterans General Hospital, Taipei, Taiwan, ROC.
  • Kao CL; Big Data Center, Taipei Veterans General Hospital Taipei, Taiwan, ROC.
  • Yarmishyn AA; Department of Physical Medicine & Rehabilitation, Taipei Veterans General Hospital, Taipei, Taiwan, ROC.
  • Chou YB; Department of Physical Medicine & Rehabilitation, School of Medicine, National Yang-Ming University, Taipei, Taiwan, ROC.
  • Hsu CC; Department of Physical Medicine & Rehabilitation, Taipei Veterans General Hospital, Taipei, Taiwan, ROC.
  • Lin TC; Department of Physical Medicine & Rehabilitation, School of Medicine, National Yang-Ming University, Taipei, Taiwan, ROC.
  • Hu HK; Department of Medical Research, Taipei Veterans General Hospital, Taipei, Taiwan, ROC.
  • Ho TK; Department of Ophthalmology, Taipei Veterans General Hospital, Taipei, Taiwan, ROC.
  • Chen PY; Faculty of Medicine, National Yang-Ming University, Taipei, Taiwan, ROC.
  • Kao ZK; Department of Ophthalmology, Taipei Veterans General Hospital, Taipei, Taiwan, ROC.
  • Chen SJ; Faculty of Medicine, National Yang-Ming University, Taipei, Taiwan, ROC.
  • Hwang DK; Department of Ophthalmology, Taipei Veterans General Hospital, Taipei, Taiwan, ROC.
J Chin Med Assoc ; 83(11): 981-983, 2020 Nov.
Article en En | MEDLINE | ID: mdl-32568967
ABSTRACT
Artificial intelligence (AI), Internet of Things (IoT), and telemedicine are deeply involved in our daily life and have also been extensively applied in the medical field, especially in ophthalmology. Clinical ophthalmologists are required to perform a vast array of image exams and analyze images containing complicated information, which allows them to diagnose the disease type and grade, make a decision on remedy, and predict treatment outcomes. AI has a great potential to assist ophthalmologists in their daily routine of image analysis and relieve their work burden. However, in spite of these prospects, the application of AI may also be controversial and associated with several legal, ethical, and sociological concerns. In spite of these issues, AI has indeed become an irresistible trend and is widely used by medical specialists in their daily routines in what we can call now, the era of AI. This review will encompass those issues and focus on recent research on the AI application in ophthalmology and telemedicine.
Asunto(s)

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Oftalmología / Inteligencia Artificial / Telemedicina Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Año: 2020 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Oftalmología / Inteligencia Artificial / Telemedicina Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Año: 2020 Tipo del documento: Article