La Inteligencia Artificial en salud como escenario de aprendizaje: Retos, avances y perspectivas

Artificial intelligence (AI) is revolutionizing healthcare education through technologies that optimize clinical learning and care decision-making. This article analyzes its impact from a formative perspective, through a systematic review of recent studies on its implementation in educational and clinical settings. The methodology involved the analysis of bibliographic matrices, allowing the identification of advances, challenges, and opportunities for improvement. The findings highlight AI’s potential to personalize learning, strengthen practical competencies, and simulate high-fidelity clinical scenarios. However, ethical and training challenges persist, related to privacy, algorithmic biases, and professional development. It is concluded that integrating AI into healthcare education requires robust pedagogical strategies and ethical frameworks to ensure its responsible use, promoting more effective, safe, and student-centered training.