Resumen

ACOSTA LINARES, Aldo Alexi  y  ARCE VILLANUEVA, Christian Anthony. Academic and Professional Development in the Health Field Using AI. Tribunal [online]. 2025, vol.5, n.13, pp.381-395.  Epub 02-Oct-2025. ISSN 2959-6513.  https://doi.org/10.59659/revistatribunal.v5i13.276.

The study evaluates the impact of artificial intelligence (AI) on academic training and professional development in health, covering medical education and clinical practice between 2020-2024. Its scope considered research indexed in databases such as Scopus and Web of Science. Methodologically, it applied the PICOT framework to define the question and criteria, and the PRISMA protocol for search, selection, eligibility, and inclusion; descriptors and Boolean operators, inclusion/exclusion criteria, and systematic metadata registration were used. The results show a growing adoption of AI tools for prediction, diagnosis, monitoring, and teaching support; they demonstrate advantages in efficiency, personalization, and early detection, along with technical, ethical, and trust challenges. It is concluded that AI has transformative potential in health and education, but requires further validation, regulation, and training for its safe and equitable integration.

Palabras clave : Artificial intelligence; Academic development; Professional training; Health; Medical education.

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