biostudies-literatureUnknown11Wang Y<h4>Background</h4>Artificial intelligence (AI) is increasingly being integrated into medical education. As AI technologies continue to evolve, they are expected to enable more sophisticated student tutoring, performance evaluation, and reforms of curricula. However, medical education entities have been ill-prepared to embrace this technological revolution, and there is anxiety concerning its potential harm to the community.<h4>Objective</h4>To explore research trends in the field and identify future directions for AI-enabled medical education, we conducted a systematic bibliometric analysis focusing on temporal trajectories in the field.<h4>Methods</h4>Documents were collected from the Web of Science and Scopus databases covering the period from 2000 to 2024. A multistep search strategy cJMIR medical educatione75911https://www.ebi.ac.uk/biostudies/studies/S-EPMC12673300biostudies-literatureHow AI Is Transforming Medical Education: Bibliometric Analysis.PMC12673300Liu HHuang XShi WChang CWang YJiao YfalseHow AI Is Transforming Medical Education: Bibliometric Analysis.<h4>Background</h4>Artificial intelligence (AI) is increasingly being integrated into medical education. As AI technologies continue to evolve, they are expected to enable more sophisticated student tutoring, performance evaluation, and reforms of curricula. However, medical education entities have been ill-prepared to embrace this technological revolution, and there is anxiety concerning its potential harm to the community.<h4>Objective</h4>To explore research trends in the field and identify future directions for AI-enabled medical education, we conducted a systematic bibliometric analysis focusing on temporal trajectories in the field.<h4>Methods</h4>Documents were collected from the Web of Science and Scopus databases covering the period from 2000 to 2024. A multistep search strategy c2025-01-01T00:00:00Z2025 Nov2026-06-07T03:11:55.868Z2026-06-07T03:07:11.969ZS-EPMC126733004125219010.2196/75911