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Inteligencia artificial aplicada a la docencia e investigación clínica: resultados de una revisión sistemática 2021–2025

Year: 2026

Type: article

Abstract: Medical education and clinical research are undergoing rapid transformation due to the exponential growth of biomedical literature. Between 2021 and 2025, five Artificial Intelligence (AI) tools emerged designed to optimize the search, analysis, and synthesis of evidence: Scispace, Consensus, Elicit, ResearchRabbit, and Scite. This systematic review analyzes their effectiveness, adoption, and educational potential based on 18 empirical studies. The findings show that these solutions do not replace conventional methods but do offer significant advantages for learning, research teaching, and academic work. Guidelines are proposed for their responsible integration into teaching programs, methodology workshops, formative research, and institutional projects.

Source: Revista de Medicina Isla de la Juventud

Authors: Batista Valladares, Adrián, Serrano Amador, Carlos Alexander, Dávila Gómez, Heenry Luís

Institution: Ministerio de Salud Pública

Language: Spanish

Topic: Artificial Intelligence in Healthcare and Education

Subfield: Health Informatics

Field: Medicine

Domain: Health Sciences

SDGs: Good health and well-being, Quality education

Open Access status: diamond

OpenAlex ID: W7215230489

FWCI:

Cites: 5

Cited by:

Related to: 10