Year: 2026
Type: article
Study design: Observational Study
Abstract: ABSTRACT Introduction: Artificial Intelligence (AI) has been progressively incorporated into medical education, modifying how knowledge is accessed and utilized. Objective: To analyze medical students’ perceptions regarding the use of Artificial Intelligence in the learning process. Methods: A descriptive, cross-sectional study with a mixed-methods approach was conducted with 108 medical students. Data were collected through an online structured questionnaire and analyzed using descriptive statistics and thematic content analysis. Results: Most participants (97.2%) reported using AI tools, with ChatGPT being the most frequently used (95.4%). The main applications included tutoring (84.3%), academic activities (65.7%), and basic disciplines, particularly anatomy/morphofunctional sciences (50.9%) and physiology (41.7%). Reported benefits included improved understanding of complex content (85.2%), time optimization (78.7%), and rapid access to information (63%). Concerns were identified regarding information reliability, algorithmic bias, and technological dependence. Most students (79.6%) showed a preference for hybrid learning methods. Conclusion: Artificial Intelligence is widely integrated into students’ academic routines and is perceived as a complementary tool whose use requires a critical approach.
Institution: Centro Universitário de Várzea Grande
Language: English
Subfield: Health Informatics
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $190
OpenAlex ID: W7204521141