Work

Self-reported artificial intelligence use, knowledge, and perceptions among undergraduate medical students at a Peruvian university

Year: 2026

Type: article

Abstract: Artificial intelligence (AI) is increasingly used in medical education, yet evidence regarding its actual use, knowledge, and perceptions among undergraduate medical students in Peru remains limited. This study aimed to estimate the prevalence of self-reported AI use for academic activities and to describe patterns of use, self-reported knowledge, and perceptions among undergraduate medical students at a Peruvian university, with an exploratory assessment of associated characteristics. We conducted an observational, analytical, cross-sectional study in 2024 among students enrolled at Universidad Ricardo Palma. A total of 279 responses were received; one respondent did not provide informed consent and was excluded, leaving 278 participants for analysis. Data were collected using an adapted online questionnaire based on previously published instruments. AI use was assessed through a separate yes/no question regarding previous use of any AI tool. Overall, 257 of 278 participants (92.4%) reported previous AI use for academic activities. Most participants self-reported basic knowledge of AI principles (89.2%) and awareness of its use in medicine (95.3%). Among the predefined AI-tool categories, ChatGPT (69.1%) and Canva (19.8%) were the most frequently reported. The primary contribution of this study is descriptive, documenting the prevalence and patterns of AI use, self-reported knowledge, and perceptions in the surveyed population. Secondary exploratory regression analyses suggested associations with daily digital-device use and perceptions regarding treatment planning, but these estimates should be interpreted cautiously because only 21 participants were classified as non-users. These findings highlight the need for structured education addressing critical, ethical, and responsible AI use in undergraduate medical training.

Source: Frontiers in Artificial Intelligence

DOI: 10.3389/frai.2026.1940222

Authors: Karen Avilés-Antezana, Alonso Soto, Iván Hernández-Patiño, José M. Vela-Ruiz, Jaime Lama-Valdivia

Institution: Universidad Ricardo Palma

Language: English

Topic: Artificial Intelligence in Healthcare and Education

Subfield: Health Informatics

Field: Medicine

Domain: Health Sciences

SDGs: Good health and well-being, Quality education

Open Access status: gold

Estimated APC paid: $2,353