Artificial Intelligence in health Education: Opportunities, Ethical Constraints and Pedagogical Challenges

Introduction: artificial intelligence (AI) has great potential to transform healthcare and health education. Therefore, we set out to analyze the scientific evidence on the implementation of artificial intelligence in the training of healthcare professionals, considering the ethical limitations of its application and opportunities for competence development. Method: the research had a qualitative approach, with a descriptive design and a literature review. Eighty-six articles were analyzed, obtained from indexed databases such as Scopus, Web of Science, Redalyc, and Scielo, using keywords in English, Portuguese, and Spanish. The information was organized in an Excel matrix for analysis through critical reading using the CASPe method to evaluate the scientific quality of the studies. Results: the implementation of AI in health education improves personalized learning, clinical simulations, and decision-making through data analysis. However, its use carries risks such as the dehumanization of the training process and excessive dependence on technology. Therefore, it is necessary to train teachers and establish ethical limits that ensure a balance between innovation and critical thinking. Conclusión: artificial intelligence is revolutionizing health education by improving learning and clinical skills. However, it poses ethical challenges that require regulation and responsible use. Its successful integration requires balancing technology and the inclusion of human values.