AI has significant potential to strengthen radiology education through personalized learning, competency development, and technology-enhanced training, Nevertheless, sustainable implementation requires standardized curricula, faculty development, competency frameworks, and robust ethical oversight.
M. Morales-Cevallos, Canva Ma Lam, María José López Pino et al.· Frontiers in Radiology· 0 citations
Evidence indicates a transition from isolated AI educational initiatives toward competency-based and longitudinal curriculum integration and effective AI education extends beyond technical literacy and increasingly incorporates ethical, clinical, and professional competencies necessary for responsible AI adoption in healthcare.
M. Morales-Cevallos, Diego Fabián Vique López, Catherine Hortensia Martínez Avalos et al.· Frontiers in Medicine· 0 citations
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