ArticleAnnals of medicine and surgery (2012)2024
Knowledge and attitude of medical students towards artificial intelligence in ophthalmology in Riyadh, Saudi Arabia: a cross-sectional study.
Article in Annals of medicine and surgery (2012), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.
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Who cites it
4 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Medical Students' Attitudes, Perceptions, and Self-Reported Familiarity With AI in Health Care: Systematic Review and Meta-Analysis.JMIR medical education · 2026Pooled it
- Perception of integrating an AI teaching module into medical education curriculum.Frontiers in medicine · 2026Article
- A Comprehensive Review of Congenital Eye Diseases in Pediatrics: Etiology, Diagnosis, and Management.Cureus · 2025Review
- Knowledge, attitude, and practice of artificial intelligence among doctors and medical students in Saudi Arabia.Journal of family medicine and primary care · 2025Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: The use of artificial intelligence (AI) in ophthalmology represents a transformative leap in healthcare. AI-powered technologies, such as machine learning and computer vision, enhance the accuracy and efficiency of ophthalmic diagnosis and treatment. Objective: This study aimed to determine medical students' awareness and attitudes towards the use of artificial intelligence in ophthalmology. Methods: This cross-sectional, questionnaire-based study was conducted between November 2022 and January 2023 using online questionnaires. Data collection was carried out using convenience sampling among medical students at the University. IBM SPSS version 23 was used to analyze the data. Results: The current finding shows that most of the participants Conclusions: Overall, medical students in Saudi Arabia appear to have favorable thoughts about AI and positive perceptions towards AI in ophthalmology. However, the findings of this study emphasize the limited understanding and low confidence levels of medical students in Saudi Arabia regarding the use of AI in ophthalmology. As a result, early exposure to AI-related materials in medical curricula is crucial for addressing these challenges through comprehensive AI education and practical exposure to prepare future ophthalmologists.
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Registered trials
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