Akademik Veri Yönetim Sistemi
17th World Congress on Public Health, Rome, İtalya, 2 - 06 Mayıs 2023, cilt.5, sa.577, ss.196
Background and Objectives: Medical artificial intelligence readiness (MAIR) is the
state of readiness of the health care provider in the knowledge, skills and attitude
to use health care-Artificial intelligence (AI) applications in its mix with their own
professional knowledge. The study aimed to measure the MAIR level of medical
students and related variables amalgam with own professional knowledge and
related variables. Methods: This cross-sectional study was conducted on 108,876
medical students in Turkiye in the 2022 spring semester. In the questionnaire,
sociodemographic characteristics, participants thoughts on AI and AI usage areas
were questioned. MAIR was measured with the MAIR Scale for medical students
(MAIRS-MS). MAIRS-MS was found to be a valid and reliable (Cronbach’s alpha
0.87) for evaluating and monitoring medical students’ on AI technologies and
applications. The questionnaire was administered on digital platforms with online
Google forms.
Results: The study group consisted of 2407 students, 55.6% of whom were female.
The scores obtained from the scale ranged 22-110, with a median of 67. Of 60.4%
students scored above the average. Among the areas where AI is used in health
services, the most known was medical imaging with 59.3%, and the least known
was early response planning and needs analysis for disasters with 17.9%. MAIR
level was higher in those who had heard of AI before, studied AI, knew the use of AI
in medicine, reported more than three areas of AI in medicine (p<0.001). Of 70.0%
students thought that AI should be included in their curriculum. The students
stated that AI is safe in medicine (47.8%), can be used in their professional
business work (44.3%), but it might be abused (43.4%). Conclusions: The AI
readiness level of future physicians is moderate. More educational programs for
the applications of AI in medicine are recommended for medical students.