THE USE OF ARTIFICIAL INTELLIGENCE IN TRANSPLANT MEDICINE: AN ANALYSIS OF ACADEMIC PERCEPTION REGARDING RELIABILITY AND ETHICS

Abstract

Objective: To analyze the perception, reliability, and ethics of using artificial intelligence (AI) in selecting transplant recipients among medical students at the FAG University Center. Methodology: Quantitative, descriptive, and cross-sectional research conducted with 382 students using a structured electronic questionnaire, covering all cycles of undergraduate studies. Results: A significant educational gap was observed: 53.7% have no prior training in AI and 66.2% are unaware of its specific applications in transplants. Although 60.7% of participants demonstrated high reliability in the technology for recipient selection, 65.2% require maximum human supervision in critical decisions. Ethical and legal risks were recognized by 91.6% of respondents, highlighting possible algorithmic biases and challenges to the principle of justice. Conversely, diagnostic speed (64.9%) and objectivity (63.9%) were identified as the main expected benefits. Conclusion: Academics recognize the potential of AI as a tool to support clinical decision-making, but condition its implementation on rigorous human oversight. It is concluded that there is a pressing need to include digital literacy and technological bioethics in the medical curriculum to ensure safe technological integration.