TY  - JOUR
T1  - Assessing Medical Students’ Anxiety and Preparedness Regarding Artificial Intelligence
A1  - Henk van Dijk
A1  - Pieter de Vries
A1  - Jeroen Bakker
JF  - Interdisciplinary Research in Medical Sciences Specialty
JO  - Interdiscip Res Med Sci Spec
SN  - 3062-4401
Y1  - 2023
VL  - 3
IS  - 2
DO  - 10.51847/VmzMolm73z
SP  - 120
EP  - 127
N2  - This study investigates the levels of anxiety and preparedness for artificial intelligence (AI) among medical students and examines how these factors are related. Between April and June 2022, data were gathered from medical students via both in-person and online questionnaires. The instruments included a socio-demographic form, an AI anxiety scale, and a medical AI readiness scale. Data from 542 participants were analyzed using SPSS version 25, with reliability assessed through Cronbach's α. Structural equation modeling (SEM) was performed using AMOS 24, accompanied by a path diagram. Findings showed that students generally demonstrated moderate readiness for AI but experienced high anxiety, with a significant negative relationship between readiness and anxiety. These results highlight the importance of preparing medical students for AI applications and reducing associated anxieties, recommending the integration of AI into medical curricula and the creation of a standardized teaching framework.
UR  - https://galaxypub.co/article/assessing-medical-students-anxiety-and-preparedness-regarding-artificial-intelligence-mzuunteo7pq2gx1
ER  -