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

doi:10.1167/tvst.10.7.14

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

Ophthalmology

Research output: Contribution to journal › Article › peer-review

15 Scopus citations

Abstract

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 language	English (US)
Article number	14
Journal	Translational Vision Science and Technology
Volume	10
Issue number	7
DOIs	https://doi.org/10.1167/tvst.10.7.14
State	Published - 2021

Keywords

Artificial intelligence
Curriculum
Medical education
Technology

ASJC Scopus subject areas

Biomedical Engineering
Ophthalmology

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10.1167/tvst.10.7.14

Cite this

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AU - Cole, Emily

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AU - Chiang, Michael F.

AU - Paul Chan, R. V.

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Impact of artificial intelligence on medical education in ophthalmology

Abstract

Keywords

ASJC Scopus subject areas

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