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Readiness towards the Use of Artificial Intelligence in Medicine and Associated Factors among Undergraduate Medical Students at a Public Medical School in Sarawak, Malaysia

Introduction: Artificial intelligence (AI) is transforming healthcare and medical education, requiring future healthcare professionals to integrate AI effectively into clinical practice. Understanding the readiness of medical students to adopt AI is essential for curriculum development. However, th...

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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/47153/1/Readiness%20towards%20the%20use%20of%20AI.pdf
http://ir.unimas.my/id/eprint/47153/
https://www.medicineandhealthukm.com/
https://doi.org/10.17576/MH.2024.s1909
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spelling my.unimas.ir-471532024-12-31T07:55:28Z http://ir.unimas.my/id/eprint/47153/ Readiness towards the Use of Artificial Intelligence in Medicine and Associated Factors 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 transforming healthcare and medical education, requiring future healthcare professionals to integrate AI effectively into clinical practice. Understanding the readiness of medical students to adopt AI is essential for curriculum development. However, the readiness of medical students in Sarawak, Malaysia, towards AI in medicine and the significant factors influencing it remain underexplored. Aim/Purpose/Objective: This study aimed to assess the readiness of undergraduate medical students at a public medical school in Sarawak, Malaysia, towards AI in medicine and to identify the factors significantly associated with their readiness. Method: A quantitative cross-sectional survey study 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. A convenience sampling method was employed. Data were collected using a validated questionnaire adapted from the Medical Artificial Intelligence Readiness Scale for Medical Students (MAIRS-MS), covering four domains (cognition, ability, vision, and ethics) and related variables. Descriptive statistics were used to assess AI readiness, and statistical analyses were performed to identify significant factors associated with readiness (p < 0.05). Results: The mean overall AI readiness score was 69.92%. Domain-specific mean scores were: vision (75.6%), ethics (73.48%), ability (72.56%), and cognition (63.82%). Gender, year of study, and AI training were significantly associated with higher AI readiness. Male students scored higher in ability (p = 0.001). Year four students had higher scores in ability (p = 0.041) and total AI readiness (p = 0.049). Students with AI training scored higher in vision (p = 0.039) and ethics (p = 0.045). Conclusion: Undergraduate medical students from this study showed moderate readiness for AI in medicine. Gender, year of study, and AI training were significant associated factors. Early integration of targeted AI training is recommended to further enhance their readiness for an AI-driven healthcare system. Keywords: Artificial intelligence; readiness; medicine; medical students; medical education Faculty of Medicine, Universiti Kebangsaan Malaysia 2024-12 Article PeerReviewed text en http://ir.unimas.my/id/eprint/47153/1/Readiness%20towards%20the%20use%20of%20AI.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) Readiness towards the Use of Artificial Intelligence in Medicine and Associated Factors among Undergraduate Medical Students at a Public Medical School in Sarawak, Malaysia. Medicine & Health, 19 (9). p. 48. 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
Readiness towards the Use of Artificial Intelligence in Medicine and Associated Factors among Undergraduate Medical Students at a Public Medical School in Sarawak, Malaysia
description Introduction: Artificial intelligence (AI) is transforming healthcare and medical education, requiring future healthcare professionals to integrate AI effectively into clinical practice. Understanding the readiness of medical students to adopt AI is essential for curriculum development. However, the readiness of medical students in Sarawak, Malaysia, towards AI in medicine and the significant factors influencing it remain underexplored. Aim/Purpose/Objective: This study aimed to assess the readiness of undergraduate medical students at a public medical school in Sarawak, Malaysia, towards AI in medicine and to identify the factors significantly associated with their readiness. Method: A quantitative cross-sectional survey study 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. A convenience sampling method was employed. Data were collected using a validated questionnaire adapted from the Medical Artificial Intelligence Readiness Scale for Medical Students (MAIRS-MS), covering four domains (cognition, ability, vision, and ethics) and related variables. Descriptive statistics were used to assess AI readiness, and statistical analyses were performed to identify significant factors associated with readiness (p < 0.05). Results: The mean overall AI readiness score was 69.92%. Domain-specific mean scores were: vision (75.6%), ethics (73.48%), ability (72.56%), and cognition (63.82%). Gender, year of study, and AI training were significantly associated with higher AI readiness. Male students scored higher in ability (p = 0.001). Year four students had higher scores in ability (p = 0.041) and total AI readiness (p = 0.049). Students with AI training scored higher in vision (p = 0.039) and ethics (p = 0.045). Conclusion: Undergraduate medical students from this study showed moderate readiness for AI in medicine. Gender, year of study, and AI training were significant associated factors. Early integration of targeted AI training is recommended to further enhance their readiness for an AI-driven healthcare system. Keywords: Artificial intelligence; readiness; 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 Readiness towards the Use of Artificial Intelligence in Medicine and Associated Factors among Undergraduate Medical Students at a Public Medical School in Sarawak, Malaysia
title_short Readiness towards the Use of Artificial Intelligence in Medicine and Associated Factors among Undergraduate Medical Students at a Public Medical School in Sarawak, Malaysia
title_full Readiness towards the Use of Artificial Intelligence in Medicine and Associated Factors among Undergraduate Medical Students at a Public Medical School in Sarawak, Malaysia
title_fullStr Readiness towards the Use of Artificial Intelligence in Medicine and Associated Factors among Undergraduate Medical Students at a Public Medical School in Sarawak, Malaysia
title_full_unstemmed Readiness towards the Use of Artificial Intelligence in Medicine and Associated Factors among Undergraduate Medical Students at a Public Medical School in Sarawak, Malaysia
title_sort readiness towards the use of artificial intelligence in medicine and associated factors 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/47153/1/Readiness%20towards%20the%20use%20of%20AI.pdf
http://ir.unimas.my/id/eprint/47153/
https://www.medicineandhealthukm.com/
https://doi.org/10.17576/MH.2024.s1909
_version_ 1821007914994761728
score 13.226497

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