INVESTIGATION OF MEDICAL ARTIFICIAL INTELLIGENCE READINESS OF MEDICAL FACULTY STUDENTS

Journal Title: Kocatepe Medical Journal - Year 2024, Vol 25, Issue 2

Abstract

OBJECTIVE: In this study, with the fact that artificial intelligence (AI) has become an integral part of our lives in the field of health, medical students' perceived readiness for artificial intelligence technologies and applications of artificial intelligence in medicine has been investigated. MATERIAL AND METHODS: This research was conducted in the 1st-3rd grades studying at Afyonkarahisar Health Sciences University (AFSÜ). 203 students who agreed to participate in the study were included in the sample. Data were collected with the sociodemographic form and medical artificial intelligence readiness scale prepared by the researchers. Data analysis was done using the R 4.0.2 environment. RESULTS: Of the 203 students included in the study, 121 (59.6%) were female students, and 82 (40.4%) male students. While it was observed that medical artificial intelligence cognitive readiness was higher in male students than in female students and this was statistically significant, there was no significant difference between male and female students in their cognitive, foresight, and ethical readiness. Additionally, students' medical artificial intelligence presence does not differ significantly according to students' grades. CONCLUSIONS: When the students' perceived readiness for artificial intelligence technologies and applications were evaluated, it was seen that the scores were generally low in the sub-dimensions of the medical artificial intelligence readiness scale. The cognitive sub-dimension has the lowest score. The highest score was seen in ethical readiness. These scores can be used as a tool to assess student needs and develop a valuable curriculum in medical education. KEYWORDS: Artificial intelligence,

Authors and Affiliations

Kerem GENCER, Gülcan GENCER

Keywords

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  • EP ID EP740625
  • DOI https://doi.org/10.18229/kocatepetip.1295779
  • Views 25
  • Downloads 0

How To Cite

Kerem GENCER, Gülcan GENCER (2024). INVESTIGATION OF MEDICAL ARTIFICIAL INTELLIGENCE READINESS OF MEDICAL FACULTY STUDENTS. Kocatepe Medical Journal, 25(2), -. https://europub.co.uk/articles/-A-740625