Attitudes, knowledge, and skills towards artificial intelligence among healthcare students: A systematic review

Seyyedeh Fatemeh Mousavi Baigi; Masoumeh Sarbaz; Kosar Ghaddaripouri; Maryam Ghaddaripouri; Atefeh Sadat Mousavi; Khalil Kimiafar

doi:10.1002/hsr2.1138

Attitudes, knowledge, and skills towards artificial intelligence among healthcare students: A systematic review

Health Sci Rep. 2023 Mar 12;6(3):e1138. doi: 10.1002/hsr2.1138. eCollection 2023 Mar.

Authors

Seyyedeh Fatemeh Mousavi Baigi^{1

2}, Masoumeh Sarbaz¹, Kosar Ghaddaripouri³, Maryam Ghaddaripouri⁴, Atefeh Sadat Mousavi¹, Khalil Kimiafar¹

Affiliations

¹ Department of Health Information Technology, School of Paramedical and Rehabilitation Sciences Mashhad University of Medical Sciences Mashhad Iran.
² Student Research Committee Mashhad University of Medical Sciences Mashhad Iran.
³ Department of Health Information Technology Varastegan Institute of Medical Sciences Mashhad Iran.
⁴ Department of Laboratory Sciences, School of Paramedical and Rehabilitation Sciences Mashhad University of Medical Sciences Mashhad Iran.

Abstract

Background and aims: This systematic review examined healthcare students' attitudes, knowledge, and skill in Artificial Intelligence (AI).

Methods: On August 3, 2022, studies were retrieved from the PubMed, Embase, Scopus, and Web of Science databases. Preferred Reporting Items for Systematic Reviews and Meta-Analyses recommendations were followed. We included cross-sectional studies that examined healthcare students' knowledge, attitudes, skills, and perceptions of AI in this review. Using the eligibility requirements as a guide, titles and abstracts were screened. Complete texts were then retrieved and independently reviewed per the eligibility requirements. To collect data, a standardized form was used.

Results: Of the 38 included studies, 29 (76%) of healthcare students had a positive and promising attitude towards AI in the clinical profession and its use in he future; however, in nine of the studies (24%), students considered AI a threat to healthcare fields and had a negative attitude towards it. Furthermore, 26 studies evaluated the knowledge of healthcare students about AI. Among these, 18 studies evaluated the level of student knowledge as low (50%). On the other hand, in six of the studies, students' high knowledge of AI was reported, and two of the studies reported average student general knowledge (almost 50%). Of the six studies, four (67%) of the students had very low skills, so they stated that they had never worked with AI.

Conclusion: Evidence from this review shows that healthcare students had a positive and promising attitude towards AI in medicine; however, most students had low knowledge and limited skills in working with AI. Face-to-face instruction, training manuals, and detailed instructions are therefore crucial for implementing and comprehending how AI technology works and raising students' knowledge of the advantages of AI.

Keywords: artificial intelligence; attitude; healthcare student; knowledge; medical student.