Impact of artificial intelligence on medical education in ophthalmology

Nita G. Valikodath, Emily Cole, Daniel S.W. Ting, J. Peter Campbell, Louis R. Pasquale, Michael F. Chiang, R. V. Paul Chan

Research output: Contribution to journalArticlepeer-review

8 Scopus citations


Clinical care in ophthalmology is rapidly evolving as artificial intelligence (AI) algorithms are being developed. The medical community and national and federal regulatory bodies are recognizing the importance of adapting to AI. However, there is a gap in physicians’ understanding of AI and its implications regarding its potential use in clinical care, and there are limited resources and established programs focused on AI and medical education in ophthalmology. Physicians are essential in the application of AI in a clinical context. An AI curriculum in ophthalmology can help provide physicians with a fund of knowledge and skills to integrate AI into their practice. In this paper, we provide general recommendations for an AI curriculum for medical students, residents, and fellows in ophthalmology.

Original languageEnglish (US)
Article number14
JournalTranslational Vision Science and Technology
Issue number7
StatePublished - 2021


  • Artificial intelligence
  • Curriculum
  • Medical education
  • Technology

ASJC Scopus subject areas

  • Biomedical Engineering
  • Ophthalmology


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