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Attitudes towards Artificial Intelligence in Medical Education and Practice among Undergraduate Medical Students at a Public Medical School in Sarawak, Malaysia

Introduction: Artificial intelligence (AI) is revolutionising medical education and practice, making it essential to understand medical students’ attitudes toward AI for curriculum development. However, the attitudes of medical students in Sarawak, Malaysia, toward AI remain underexplored. A...

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Main Authors: Chau Chung, Chai, Md Mizanur, Rahman, Karen Shendy, Sampson Sambong, Siti Nursyazwani, Azmi Murad, Hariz Hizami, Hatta, Chai Zi, Penny Chen
Format: Article
Language:English
Published: Faculty of Medicine, Universiti Kebangsaan Malaysia 2024
Subjects:
R Medicine (General)
Online Access:http://ir.unimas.my/id/eprint/47156/1/Attitudes%20towards%20Artificial%20Intelligence.pdf
http://ir.unimas.my/id/eprint/47156/
https://www.medicineandhealthukm.com/
https://doi.org/10.17576/MH.2024.s1909
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spelling my.unimas.ir-471562024-12-31T08:03:28Z http://ir.unimas.my/id/eprint/47156/ Attitudes towards Artificial Intelligence in Medical Education and Practice among Undergraduate Medical Students at a Public Medical School in Sarawak, Malaysia Chau Chung, Chai Md Mizanur, Rahman Karen Shendy, Sampson Sambong Siti Nursyazwani, Azmi Murad Hariz Hizami, Hatta Chai Zi, Penny Chen R Medicine (General) Introduction: Artificial intelligence (AI) is revolutionising medical education and practice, making it essential to understand medical students’ attitudes toward AI for curriculum development. However, the attitudes of medical students in Sarawak, Malaysia, toward AI remain underexplored. Aim/Purpose/Objective: This study aimed to assess the attitudes of undergraduate medical students at a public medical school in Sarawak, Malaysia, toward AI in medical education and practice. Method: A quantitative cross-sectional survey was conducted from October 2023 to August 2024, involving 185 undergraduate medical students from year one to year five at a public medical school in Sarawak, Malaysia. A convenience sampling method was employed. Data were collected using a validated questionnaire adapted from a previous United Kingdom study assessing medical students’ attitudes toward AI in education and practice. Participants rated their agreement on a 5-point Likert scale. Quantitative responses were analyzed using descriptive statistics. Results: Most students reported positive attitudes toward AI, with 73% (combining 31.4% strongly agree and 41.6% agree) supporting the statement that “All medical students should receive teaching in AI”. Additionally, 78.3% (combining 29.7% strongly agree and 48.6% agree) supported the statement that “Participating in AI education will be beneficial to my academic journey”. Furthermore, 74.6% (combining 28.1% strongly agree and 46.5% agree) supported the statement that “I am open to exploring more career options with AI advancement”. Lastly, 64.8% (combining 27.0% strongly agree and 37.8% agree) supported the statement that “AI will play an important role in healthcare”. Conclusion: The majority of the medical students in this study showed positive attitudes toward AI, supporting its inclusion in the curriculum and its future role in healthcare. These findings provide a strong foundation for integrating AI into medical education and practice. Keywords: Artificial intelligence; attitudes; medicine; medical students; medical education Faculty of Medicine, Universiti Kebangsaan Malaysia 2024-12 Article PeerReviewed text en http://ir.unimas.my/id/eprint/47156/1/Attitudes%20towards%20Artificial%20Intelligence.pdf Chau Chung, Chai and Md Mizanur, Rahman and Karen Shendy, Sampson Sambong and Siti Nursyazwani, Azmi Murad and Hariz Hizami, Hatta and Chai Zi, Penny Chen (2024) Attitudes towards Artificial Intelligence in Medical Education and Practice among Undergraduate Medical Students at a Public Medical School in Sarawak, Malaysia. Medicine & Health, 19 (9). p. 36. ISSN 2289-5728 https://www.medicineandhealthukm.com/ https://doi.org/10.17576/MH.2024.s1909
institution Universiti Malaysia Sarawak
building Centre for Academic Information Services (CAIS)
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sarawak
content_source UNIMAS Institutional Repository
url_provider http://ir.unimas.my/
language English
topic R Medicine (General)
spellingShingle R Medicine (General)
Chau Chung, Chai
Md Mizanur, Rahman
Karen Shendy, Sampson Sambong
Siti Nursyazwani, Azmi Murad
Hariz Hizami, Hatta
Chai Zi, Penny Chen
Attitudes towards Artificial Intelligence in Medical Education and Practice among Undergraduate Medical Students at a Public Medical School in Sarawak, Malaysia
description Introduction: Artificial intelligence (AI) is revolutionising medical education and practice, making it essential to understand medical students’ attitudes toward AI for curriculum development. However, the attitudes of medical students in Sarawak, Malaysia, toward AI remain underexplored. Aim/Purpose/Objective: This study aimed to assess the attitudes of undergraduate medical students at a public medical school in Sarawak, Malaysia, toward AI in medical education and practice. Method: A quantitative cross-sectional survey was conducted from October 2023 to August 2024, involving 185 undergraduate medical students from year one to year five at a public medical school in Sarawak, Malaysia. A convenience sampling method was employed. Data were collected using a validated questionnaire adapted from a previous United Kingdom study assessing medical students’ attitudes toward AI in education and practice. Participants rated their agreement on a 5-point Likert scale. Quantitative responses were analyzed using descriptive statistics. Results: Most students reported positive attitudes toward AI, with 73% (combining 31.4% strongly agree and 41.6% agree) supporting the statement that “All medical students should receive teaching in AI”. Additionally, 78.3% (combining 29.7% strongly agree and 48.6% agree) supported the statement that “Participating in AI education will be beneficial to my academic journey”. Furthermore, 74.6% (combining 28.1% strongly agree and 46.5% agree) supported the statement that “I am open to exploring more career options with AI advancement”. Lastly, 64.8% (combining 27.0% strongly agree and 37.8% agree) supported the statement that “AI will play an important role in healthcare”. Conclusion: The majority of the medical students in this study showed positive attitudes toward AI, supporting its inclusion in the curriculum and its future role in healthcare. These findings provide a strong foundation for integrating AI into medical education and practice. Keywords: Artificial intelligence; attitudes; medicine; medical students; medical education
format Article
author Chau Chung, Chai
Md Mizanur, Rahman
Karen Shendy, Sampson Sambong
Siti Nursyazwani, Azmi Murad
Hariz Hizami, Hatta
Chai Zi, Penny Chen
author_facet Chau Chung, Chai
Md Mizanur, Rahman
Karen Shendy, Sampson Sambong
Siti Nursyazwani, Azmi Murad
Hariz Hizami, Hatta
Chai Zi, Penny Chen
author_sort Chau Chung, Chai
title Attitudes towards Artificial Intelligence in Medical Education and Practice among Undergraduate Medical Students at a Public Medical School in Sarawak, Malaysia
title_short Attitudes towards Artificial Intelligence in Medical Education and Practice among Undergraduate Medical Students at a Public Medical School in Sarawak, Malaysia
title_full Attitudes towards Artificial Intelligence in Medical Education and Practice among Undergraduate Medical Students at a Public Medical School in Sarawak, Malaysia
title_fullStr Attitudes towards Artificial Intelligence in Medical Education and Practice among Undergraduate Medical Students at a Public Medical School in Sarawak, Malaysia
title_full_unstemmed Attitudes towards Artificial Intelligence in Medical Education and Practice among Undergraduate Medical Students at a Public Medical School in Sarawak, Malaysia
title_sort attitudes towards artificial intelligence in medical education and practice among undergraduate medical students at a public medical school in sarawak, malaysia
publisher Faculty of Medicine, Universiti Kebangsaan Malaysia
publishDate 2024
url http://ir.unimas.my/id/eprint/47156/1/Attitudes%20towards%20Artificial%20Intelligence.pdf
http://ir.unimas.my/id/eprint/47156/
https://www.medicineandhealthukm.com/
https://doi.org/10.17576/MH.2024.s1909
_version_ 1821007916149243904
score 13.226497

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