Matias Rasi
Papers
1
Total Citations
21
H-Index
1
About
Matias Rasi is a forward-thinking researcher at the intersection of artificial intelligence and health sciences education. His primary research areas include the integration of AI technologies into higher education curricula, particularly within health sciences, and the synthesis of evidence through systematic review methodologies. His most notable contribution is the landmark umbrella review, "Utilising artificial intelligence in developing education of health sciences higher education: An umbrella review of reviews" (2025), which has already garnered 21 citations shortly after publication. This work systematically synthesizes existing reviews to provide a comprehensive overview of AI's role in transforming health sciences education, following rigorous Joanna Briggs Institute guidelines. Rasi’s impact lies in his ability to distill complex, fragmented evidence into actionable insights for educators and policymakers, addressing critical gaps in how AI can enhance learning outcomes. His methodological rigor and focus on evidence synthesis have positioned him as a key voice in the ongoing digital transformation of higher education. By bridging AI innovation with pedagogical practice, Rasi is shaping the future of health sciences training, making his work essential reading for students and researchers navigating this rapidly evolving field.
Research Focus
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Top Papers
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