Methods for Applying Artificial Intelligence in the Educational Process of a Medical University

Abstract

This article presents the results of a study on the use of publicly available artificial intelligence in the educational process of a higher medical school. The pilot project, "An Intelligent System for Teaching Basic Clinical Examination Skills," was implemented with a grant from the Russian Society for Simulation Education in Medicine in 2025.

The study included 58 third-year students majoring in General Medicine at Surgut State University. Two comparison groups were randomly assigned: a study group, which tested the technology using artificial intelligence (n=29), and a control group, which studied using a traditional method without the use of artificial intelligence (n=29).

The project resulted in the development of a methodology for problem-based, competency-based, self-controlled teaching of basic clinical examination skills using simulators, virtual patients, and artificial intelligence. No negative results were obtained during the pilot study of artificial intelligence in the educational process of a higher medical school. The combination of simulators, virtual patients, and artificial intelligence has proven most effective in developing and practicing doctor-patient communication skills in a simulated environment.