Knowledge, Attitudes, and Perceptions of Artificial Intelligence in Healthcare Among Medical Students at Sultan Qaboos University
Open accessAbstract
Background Artificial intelligence (AI) is increasingly used in healthcare, but more data are needed about the knowledge, perceptions, attitudes, and preparedness of medical students in Oman towards this technology. This study aimed to investigate these aspects among clinical-year medical students at Sultan Qaboos University. Methodology A web-based validated exploratory questionnaire adapted from a study conducted at the University of Toronto was distributed to all clinical year (phase III) medical students at Sultan Qaboos University. The questionnaire collected demographic and background information, tested students' knowledge of AI, and assessed their perceptions and attitudes toward it. The data were analyzed using the Statistical Package for Social Sciences (SPSS, IBM Corp., Armonk, NY). Results A total of 221 out of 368 clinical-year medical students (60%) completed the survey. Most respondents were in their junior clerkship year (n = 94, 42.5%). Most students (n = 167, 75.4%) had no prior exposure to AI in healthcare, with a median knowledge score of 3.25 out of 5 in AI, and showed no improvement over the years. However, they overall had positive perceptions and attitudes towards AI. Students also had concerns about the impact of AI on employment prospects and ethical issues but were generally receptive to incorporating AI into medical school curricula, as 174 students (78.7%) believed every medical trainee should receive training on AI competencies. Conclusion This study provides valuable insights into the knowledge, perceptions, attitudes, and preparedness of medical students in Oman toward AI in healthcare. Medical educators in Oman should consider incorporating AI into medical school curricula to prepare future physicians for using this technology in healthcare.
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“The questionnaire was based on a review of similar studies [2, 6, 20, 22–25] and comprised three main parts: sociodemographic information (age, gender, nationality, residency, marital status, specialty, educational level), prior basic knowledge and training in AI (six items), and attitudes toward…”
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Artificial Intelligence in Medical Education- Perception Among Medical Students
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“Zinah A. Al Hadithy [36] Students were generally receptive to incorporating AI into medical school curricula, as 174 out of 221 participants (78.7”
Influential
- Authors
- Al Hadithy, Z. A., Al Lawati, A., Al-Zadjali, R., & Al Sinawi, H.
- Venue
- Cureus
- Published
- 2023-09-08
- Volume
- 15
- Issue
- 9
- Pages
- e44887-e44887
- ISSN
- 2168-8184 (ISSN-L)
- PMC
- PMC10560391
- OpenAlex
- W4386543744
- Cited by
- 55
- References
- 15
- Citations by year
- 2026: 15 · 2025: 19 · 2024: 19 · 2023: 2
- FWCI
- 2.24
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- cc-by
- Locations
- Cureus (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Funders
- Division of Undergraduate Education
- Topics
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Innovations in Medical Education
- Keywords
- artificial intelligence in healthcare, medical students, attitudes toward AI, perceptions of AI, medical curriculum, AI and employment, AI ethics, Oman
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