Search research articles

Search research articles

Related Experiment Videos

Opportunities, risks and challenges integrating artificial intelligence into optometry education: A qualitative

Fiona Buckmaster¹, Diane van Staden², Lauren Coetzee¹

¹Centre for Vision Across the Life Span, Department of Optometry and Vision Sciences, University of Huddersfield, Huddersfield, UK.

Optometry and Vision Science : Official Publication of the American Academy of Optometry

|June 16, 2026

Summary

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Emerging Technologies for the Management and Mitigation of Myopia Progression: A Scoping Review.

Health science reports·2026

Same author

Attitudes and Knowledge Levels of Optometry Students and Educators Towards Artificial Intelligence in Optometric Practice: An Online Cross-Sectional Survey.

Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists)·2026

Same author

Exploring interprofessional collaboration in the intensive care unit.

The South African journal of physiotherapy·2024

Same author

Optometrists' Perspectives Regarding Artificial Intelligence Aids and Contributing Retinal Images to a Repository: Web-Based Interview Study.

JMIR human factors·2023

Same author

The Rising Burden of Diabetes-Related Blindness: A Case for Integration of Primary Eye Care into Primary Health Care in Eswatini.

Healthcare (Basel, Switzerland)·2021

Same author

Characterization of Retinal Thickness in Individuals with Albinism: Baseline Data for a Black South African Population.

Clinical optometry·2021

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Stakeholders identified key AI topics for optometry education, including interpretation of AI outputs and ethical considerations. Barriers like funding and rapid AI advancements need addressing for successful curriculum integration.

Area of Science:

Optometry education
Artificial intelligence (AI) in healthcare
Curriculum development

Background:

AI integration in optometric practice necessitates curriculum adaptation in higher education.
Establishing educational priorities is crucial before teaching AI in optometry.

Purpose of the Study:

To explore diverse stakeholder perspectives on integrating artificial intelligence (AI) into optometry education.
To inform curriculum development for AI literacy in optometry programs.

Main Methods:

Semi-structured interviews with eyecare practitioners, students, educators, regulators, and AI experts.
Online interviews, verbatim transcription, and thematic analysis of qualitative data.

Main Results:

Related Experiment Videos

Key AI topics identified for optometry curricula: interpreting AI outputs, foundational knowledge, ethical considerations, and clinical workflow integration.
Barriers include lack of AI device access, funding, time, and the need for frequent curriculum updates due to rapid AI advancements.
Students use AI tools for study, but concerns exist regarding plagiarism and reduced critical thinking; some institutions discourage AI use.

Conclusions:

Multidisciplinary input is vital for integrating AI into optometry education.
Further research is needed to implement and evaluate AI curriculum recommendations in practice.
The long-term cognitive impact of AI tools in education requires further investigation.