articleBMC Medical EducationNov 9, 2022GOLD OA

Artificial intelligence in medical education: a cross-sectional needs assessment

Bursa Uludağ Üni̇versi̇tesi̇

PubMed
Indexed incrossrefdoajpubmed

Abstract

Background

As the information age wanes, enabling the prevalence of the artificial intelligence age; expectations, responsibilities, and job definitions need to be redefined for those who provide services in healthcare. This study examined the perceptions of future physicians on the possible influences of artificial intelligence on medicine, and to determine the needs that might be helpful for curriculum restructuring.

Methods

A cross-sectional multi-centre study was conducted among medical students country-wide, where 3018 medical students participated. The instrument of the study was an online survey that was designed and distributed via a web-based service.

Citation impact

320
total citations
FWCI
16.69
Percentile
100%
References
30
Citations per year

Authors

5

Topics & keywords

Keywords
  • Confidentiality
  • Medical education
  • Curriculum
  • Restructuring
  • Health care
  • Psychology
  • Perception
  • Cross-sectional study
UN Sustainable Development Goals
  • Decent work and economic growth
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