Faculty perspectives on artificial intelligence’s adoption in the health sciences education: a multicentre survey

This study shows that there are still significant gaps in general knowledge, formal training, and ethical understanding, despite the supportive perception score of the health science faculty towards AI integration in medical education. Despite a general lack of knowledge and a lack of curricular content on AI applications, the results show considerable support for incorporating AI into medical education. Institutional readiness for the integration of AI in medical education is strongly influenced by obstacles, including a lack of knowledge, a shortage of skilled faculty, and fear of career threat.

Authors

Institutions

Publication Details

Journal
Frontiers in Medicine
Published
2025-09-29
DOI
https://doi.org/10.3389/fmed.2025.1663741
Citations
2
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
1.31
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Faculty perspectives on artificial intelligence’s adoption in the health sciences education: a multicentre survey

Ahmed M. Alomar, Salah H. Elsafi, Zeyad S. Alkharraz, Asma AlHarbi et al.
2 citations
Frontiers in Medicine
Artificial Intelligence in Healthcare and Education
1.31
article

Faculty perspectives on artificial intelligence’s adoption in the health sciences education: a multicentre survey

Ahmed M. Alomar, Salah H. Elsafi, Zeyad S. Alkharraz, Asma AlHarbi, Eidan M. Al Zahrani, Lenah D. Al Musallam, Hala M. Aldossari
article en
2 citations

Abstract

This study shows that there are still significant gaps in general knowledge, formal training, and ethical understanding, despite the supportive perception score of the health science faculty towards AI integration in medical education. Despite a general lack of knowledge and a lack of curricular content on AI applications, the results show considerable support for incorporating AI into medical education. Institutional readiness for the integration of AI in medical education is strongly influenced by obstacles, including a lack of knowledge, a shortage of skilled faculty, and fear of career threat.

Frontiers in MedicineVol. 12
King Fahd Military Medical Complex (SA), Dhahran Health Center (SA), Prince Sultan Military College of Health Sciences, Imam Abdulrahman Bin Faisal University (SA)
Openalex Percentile: Top 14%
Artificial Intelligence in Healthcare and Education
1.31
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.