Litcius/Paper detail

Impact of Artificial Intelligence on Medical Education in Ophthalmology

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

2021Translational Vision Science & Technology62 citationsDOIOpen Access PDF

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.

Topics & Concepts

CurriculumContext (archaeology)Medical educationClinical PracticeMedicinePatient careOphthalmologyPsychologyFamily medicineNursingPedagogyBiologyPaleontologyRetinal Imaging and AnalysisArtificial Intelligence in Healthcare and EducationOphthalmology and Visual Health Research