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Medical, dental, and nursing students' attitudes and knowledge towards artificial intelligence: a systematic review and meta-analysis

Amiri H 1 , Peiravi S 2 , Rezazadeh Shojaee SS 3 , Rouhparvarzamin M 4 , Nateghi MN 5 , Etemadi MH 6 Show all authors , ShojaeiBaghini M 7 , Musaie F 8 , Anvari MH 9 , Asadi Anar M 10

Affiliations 

  • 1 Student Research Committee, Arak University of Medical Sciences, Arak, Iran
  • 2 Department of Emergency Medicine, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
  • 3 Department of Nursing, Faculty of Nursing and Midwifery, Mashhad Medical Sciences, Islamic Azad University, Mashhad, Iran
  • 4 Student Research Committee, School of Nursing and Midwifery, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
  • 5 Student Research Committee, Faculty of Nursing and Midwifery, Mashhad University of Medical Sciences, Mashhad, Iran
  • 6 Students Research Committee, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
  • 7 Medical Informatics Research Center, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran
  • 8 Dentistry Student, Dental Branch, Islamic Azad University, Tehran, Iran
  • 9 Master of Health Science, Faculty of Health Sciences, Universiti Kebangsaan Malaysia (UKM), Kuala Lumpur, Malaysia
  • 10 Student Research Committee, School of Medicine, Shahid Beheshti University of Medical Sciences, SBUMS, Arabi Ave, Daneshjoo Blvd, Velenjak, Tehran, 19839-63113, Iran. Mahsa.boz@gmail.com
BMC Med Educ, 2024 Apr 15;24(1):412.
PMID: 38622577 DOI: 10.1186/s12909-024-05406-1

Abstract

BACKGROUND: Nowadays, Artificial intelligence (AI) is one of the most popular topics that can be integrated into healthcare activities. Currently, AI is used in specialized fields such as radiology, pathology, and ophthalmology. Despite the advantages of AI, the fear of human labor being replaced by this technology makes some students reluctant to choose specific fields. This meta-analysis aims to investigate the knowledge and attitude of medical, dental, and nursing students and experts in this field about AI and its application.

METHOD: This study was designed based on PRISMA guidelines. PubMed, Scopus, and Google Scholar databases were searched with relevant keywords. After study selection according to inclusion criteria, data of knowledge and attitude were extracted for meta-analysis.

RESULT: Twenty-two studies included 8491 participants were included in this meta-analysis. The pooled analysis revealed a proportion of 0.44 (95%CI = [0.34, 0.54], P 

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.

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