Medical Students’ Readiness for Medical Artificial Intelligence (AI)

Artificial intelligence offers students more personalised and adaptive learning, which encourages educators to better understand students' learning processes. This study aims to determine the readiness levels of medical faculty students in medical artificial intelligence and to examine whether these levels vary based on gender and class year. The study was conducted with 322 medical students. Research data were collected using the "Medical Artificial Intelligence Readiness Scale for Medical Students." Results showed that medical students rated themselves as moderate in the "cognition" and "vision" dimensions, slightly higher in the "ability" and "ethics" dimensions, and overall at a "neutral" level in medical artificial intelligence readiness. Compared to females, males showed significant differences at a "small effect" level in cognition, ability factors and overall scores. Regarding class levels, significant differences were found between 2nd graders and both 5th and 6th graders, favouring the 2nd graders at an "intermediate effect" level. In the cognition dimension, there was also a significant difference between the 2nd and 4th grades in favour of the 2nd grade and at the level of "small effect." In order to increase medical artificial intelligence readiness of students, it is important to comprehensively include the subject in the medical school curriculum and to develop it according to needs. In future research, long-term follow-up studies aimed at improving medical students' education in the field of medical artificial intelligence (AI) are considered to be very beneficial. Furthermore, future studies should also consider potential changes in medical AI readiness that may occur over time.

Authors

Institutions

Publication Details

Journal
INQUIRY The Journal of Health Care Organization Provision and Financing
Published
2026-02-18
DOI
https://doi.org/10.1177/00469580261418133
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Medical Students’ Readiness for Medical Artificial Intelligence (AI)

Gökhan Ilgaz, Albena Gayef
INQUIRY The Journal of Health Care Organization Provision and Financing
Artificial Intelligence in Healthcare and Education
article

Medical Students’ Readiness for Medical Artificial Intelligence (AI)

Gökhan Ilgaz, Albena Gayef
article en

Abstract

Artificial intelligence offers students more personalised and adaptive learning, which encourages educators to better understand students' learning processes. This study aims to determine the readiness levels of medical faculty students in medical artificial intelligence and to examine whether these levels vary based on gender and class year. The study was conducted with 322 medical students. Research data were collected using the "Medical Artificial Intelligence Readiness Scale for Medical Students." Results showed that medical students rated themselves as moderate in the "cognition" and "vision" dimensions, slightly higher in the "ability" and "ethics" dimensions, and overall at a "neutral" level in medical artificial intelligence readiness. Compared to females, males showed significant differences at a "small effect" level in cognition, ability factors and overall scores. Regarding class levels, significant differences were found between 2nd graders and both 5th and 6th graders, favouring the 2nd graders at an "intermediate effect" level. In the cognition dimension, there was also a significant difference between the 2nd and 4th grades in favour of the 2nd grade and at the level of "small effect." In order to increase medical artificial intelligence readiness of students, it is important to comprehensively include the subject in the medical school curriculum and to develop it according to needs. In future research, long-term follow-up studies aimed at improving medical students' education in the field of medical artificial intelligence (AI) are considered to be very beneficial. Furthermore, future studies should also consider potential changes in medical AI readiness that may occur over time.

INQUIRY The Journal of Health Care Organization Provision and FinancingVol. 63
Trakya University (TR)
Quality Education
Openalex Percentile: Top 52%
Artificial Intelligence in Healthcare and Education
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Medical Students’ Readiness for Medical Artificial Intelligence (AI) — Gökhan Ilgaz, Albena Gayef · INQUIRY The Journal of Health Care Organization Provision and Financing (2026) | TGRS Research Map | TGRS