TY - JOUR
T1 - Perspectives on the use of artificial intelligence
T2 - an online survey of health sciences students and faculty members
AU - Choukou, Mohamed Amine
AU - Alkhamis, Moh A.
AU - Syed-Abdul, Shabbir
AU - Alshawaf, Hamza
AU - Alfadhli, Suad
N1 - Publisher Copyright:
© The Author(s) under exclusive licence to International Union for Physical and Engineering Sciences in Medicine (IUPESM) 2024.
PY - 2024
Y1 - 2024
N2 - Purpose: AI-enabled health technologies are expected to assist healthcare professionals in providing evidence-based care while contributing to the global digital health transformation. However, aside from the availability of AI technology, academic settings are not always ready to embrace it. The objective of this study is to investigate health sciences students’ and faculty’s perspectives on using artificial intelligence in different curricula. Methods: Two validated questionnaires were distributed as online surveys to the students enrolled in the five colleges of Kuwait University’s health sciences centre. Categorical variables were summarized using frequencies and relative frequencies, while ordinal/Likert variables were summarized using means and standard deviations. We set the significance level for the statistical tests at 0.05. Results: The surveys revealed that students had greater gaps in technical skills and a greater need for AI-enabled health technology than faculty. The needs varied by college, with allied health sciences students having the greatest need and dentistry students having the least. Conclusions: The surveys highlighted gaps and unmet needs for AI-enabled health technology that must be addressed before integrating AI technology into the curriculum or patient care to improve access to care and support digital healthcare transformation. Our results may be used as a foundation to develop a recommendation for a task force to integrate AI technologies into the different health sciences curricula.
AB - Purpose: AI-enabled health technologies are expected to assist healthcare professionals in providing evidence-based care while contributing to the global digital health transformation. However, aside from the availability of AI technology, academic settings are not always ready to embrace it. The objective of this study is to investigate health sciences students’ and faculty’s perspectives on using artificial intelligence in different curricula. Methods: Two validated questionnaires were distributed as online surveys to the students enrolled in the five colleges of Kuwait University’s health sciences centre. Categorical variables were summarized using frequencies and relative frequencies, while ordinal/Likert variables were summarized using means and standard deviations. We set the significance level for the statistical tests at 0.05. Results: The surveys revealed that students had greater gaps in technical skills and a greater need for AI-enabled health technology than faculty. The needs varied by college, with allied health sciences students having the greatest need and dentistry students having the least. Conclusions: The surveys highlighted gaps and unmet needs for AI-enabled health technology that must be addressed before integrating AI technology into the curriculum or patient care to improve access to care and support digital healthcare transformation. Our results may be used as a foundation to develop a recommendation for a task force to integrate AI technologies into the different health sciences curricula.
KW - Artificial intelligence
KW - Clinical decision-making
KW - Ethics
KW - Evidence-based care
KW - Healthcare
KW - Information
UR - http://www.scopus.com/inward/record.url?scp=85205844187&partnerID=8YFLogxK
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U2 - 10.1007/s12553-024-00908-w
DO - 10.1007/s12553-024-00908-w
M3 - Article
AN - SCOPUS:85205844187
SN - 2190-7188
JO - Health and Technology
JF - Health and Technology
ER -