impact of artificial intelligence on learning outcomes among medical students

Background: artificial intelligence (ai) is increasingly becoming integral to medical practice. this study aimed to assess the impact of ai on learning outcomes among medical students and their understanding of its applications in medical education at a tertiary care teaching hospital in india.method: after obtaining institutional ethics committee (iec) approval, a cross-sectional observational study was conducted between january 2025 to march 2025 over two weeks at a tertiary care teaching hospital among 500 batchelor of medicine and batchelor of surgery (mbbs) students from various academic years. a self- structured, pre-validated questionnaire was used to collect data. convenience sampling was employed, participation was voluntary with informed consent, and confidentiality was maintained. data were analysed using spss version 27.0, with results expressed as mean ± standard deviation and n (percentage).results: the study included 500 mbbs students (mean age 20.8 ± 1.9 years; 62% female, 38% male) from all years of study. perceptions of ai in medicine included its role in advancing the field (36%), delivering accurate results (28%), providing lifestyle-based preventive recommendations (42%), aiding diagnosis (37%), generating prescriptions (33%), and designing personalized treatments (35%), with fewer seeing it offering emotional support (18%) or replacing psychiatric counselling (15%). common ai uses were academic learning (37%), assignments (25%), research (21%), diagnosis (19%), treatment exploration (15%), and other purposes (8%).conclusion: a significant proportion of medical students acknowledged the potential of ai in advancing the medical field and supporting diagnostic and treatment-related functions, and role in replacing physicians, indicating the need for enhanced awareness, training, and integration strategies to optimize ai adoption in medical education and practice.