Artificial intelligence in medical education: a scoping review

Authors

Abstract

This study presents a scoping review aimed at identifying, within the scientific literature, the integration of
artificial intelligence into the professional training of medical students, considering ethical implications and
effects on the doctor-patient relationship. Ten databases were consulted and, after screening conducted
by three independent reviewers of 150 initially selected documents, 16 articles composed the corpus
of analysis. The results indicate that artificial intelligence is being incorporated into medical education
in various ways, ranging from clinical simulation software to chatbots designed for data collection and
organization. However, studies also highlight relevant ethical concerns, such as the impact on the doctorpatient
relationship, the need for faculty and student preparedness, and the limits of technology in
comprehensive care. It is concluded that the integration of artificial intelligence into medical education
should occur in an ethical and critical manner, preserving the human nature of clinical practice.

Keywords:

Students, Medical, Physician-Patient Relations, Artificial Intelligence, Scoping Review, Students, medical. Physician-Patient relations. Artificial intelligence. Scoping review.

Author Biographies

Carlos Alberto Severo Garcia Júnior, Universidade Federal de Santa Catarina, Araranguá/SC, Brasil.

Carlos Alberto Severo Garcia Júnior – Doutor – carlos.garcia.junior@ufsc.br
0000-0003-3367-4151

Cristiane Damiani Tomasi, Universidade do Extremo Sul Catarinense, Criciúma/SC, Brasil.

Cristiane Tomasi – Doutora – cdtomasi@gmail.com
0000-0002-1813-765X

Indianara Reynaud Toreti, Universidade do Extremo Sul Catarinense, Criciúma/SC, Brasil.

Indianara Reynaud Toreti – Doutora – irt@unesc.net
0000-0001-8730-4311

Yuri Farias Lima, Universidade Federal de Santa Catarina, Araranguá/SC, Brasil.

Yuri Farias Lima – Especialista – yurifarias10297@gmail.com
0000-0002-7158-6665

Giovana Laís Eckert, Universidade Federal de Santa Catarina, Araranguá/SC, Brasil.

Giovana Laís Eckert – Graduada – eckert.giovana@gmail.com
0000-0003-3341-3883

Luis Guilherme Fernandes Martins, Universidade Federal de Santa Catarina, Araranguá/SC, Brasil.

Luis Guilherme Fernandes Martins – Graduando – luisgfm1@gmail.com
0009-0005-8498-7037

Antonio Carlos Picalho, Universidade Federal de Santa Catarina, Araranguá/SC, Brasil.

Antonio Carlos Picalho – Doutorando – tonipicalho@gmail.com
0000-0002-6520-6224

How to Cite

1.
Garcia Júnior CAS, Tomasi CD, Toreti IR, Lima YF, Eckert GL, Martins LGF, et al. Artificial intelligence in medical education: a scoping review. Rev. Bioét. [Internet]. 2026 Jul. 27 [cited 2026 Aug. 25];34. Available from: https://revistabioetica.cfm.org.br/revista_bioetica/article/view/4102