Artificial intelligence applied to teaching and clinical research: results of a systematic review 2021–2025.
Keywords:
artificial intelligence; medical education; clinical researchAbstract
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.
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Copyright (c) 2026 Adrián Batista Valladares, Carlos Alexander Serrano Amador, Heenry Luís Dávila Gómez
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