Orozco GA, Álvarez LMJ, Osorio MMF, Calderón JCL, Rodríguez ADA

Language: Spanish
References: 7
Page: 247-250
PDF size: 496.85 Kb.

ABSTRACT

Introduction: artificial intelligence (AI) has been progressively integrated into medical education as a useful tool to support learning. Objective: to evaluate the impact of using AI in the teaching of undergraduate medical interns, analyzing both their acceptance of its use, overall performance, and the results of closed-book midterm and final exams. Material and methods: an observational and analytical study was conducted during a two-month pediatrics course with 34 undergraduate medical interns. The teaching strategy combined presentations delivered without AI, AI-assisted presentations, daily group assessments, guided discussions using open-book exams, and individual closed-book exams. Results: class attendance was 95%. The average final grade was 92.8 ± 8.6 [range 67.1-99.4]. Analysis of the midterm and final exams alone showed an average of 82.6 ± 14.4 [range 45.25-97.75, median 87.5]. More than 75% of the students obtained grades above 80. Conclusions: the structured integration of AI into medical education is well-accepted, promotes active participation, facilitates collaborative learning, and is associated with high academic performance.

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