Artificial intelligence, extended reality, and emerging AI–XR integrations in medical education

Current evidence on AI, XR, and emerging AI-XR integrations suggests promising but preliminary benefits for learning and performance. The small number of fully integrated AI-XR interventions and the methodological limitations of many primary studies substantially limit the certainty and generalizability of these findings. Future research should use more rigorous and standardized designs, explicitly compare AI-only, XR-only, and AI-XR hybrid approaches, and be coupled with faculty development, robust technical support, and alignment with competency-based assessment.

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Publication Details

Journal
Frontiers in Digital Health
Published
2026-01-09
DOI
https://doi.org/10.3389/fdgth.2025.1740557
Citations
1
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
17.70

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article

Artificial intelligence, extended reality, and emerging AI–XR integrations in medical education

Richard Tene-Fernandez, DIEGO FABIÁN VIQUE LOPEZ, Talía Tene, Marlene Jacqueline García Veloz et al.
1 citations
Frontiers in Digital Health
Artificial Intelligence in Healthcare and Education
17.70
article

Artificial intelligence, extended reality, and emerging AI–XR integrations in medical education

Richard Tene-Fernandez, DIEGO FABIÁN VIQUE LOPEZ, Talía Tene, Marlene Jacqueline García Veloz, Byron Stalin Rojas Oviedo
article en
1 citations

Abstract

Current evidence on AI, XR, and emerging AI-XR integrations suggests promising but preliminary benefits for learning and performance. The small number of fully integrated AI-XR interventions and the methodological limitations of many primary studies substantially limit the certainty and generalizability of these findings. Future research should use more rigorous and standardized designs, explicitly compare AI-only, XR-only, and AI-XR hybrid approaches, and be coupled with faculty development, robust technical support, and alignment with competency-based assessment.

Frontiers in Digital HealthVol. 7
Universidad Técnica Particular de Loja (EC), Escuela Superior Politécnica del Chimborazo (EC), Hospital Metropolitano (EC)
Corporación Ecuatoriana para el Desarrollo de la Investigación y la Academia, Universidad Técnica Particular de Loja
Quality Education
Openalex Percentile: Top 3%
Artificial Intelligence in Healthcare and Education
17.70
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Artificial intelligence, extended reality, and emerging AI–XR integrations in medical education — Richard Tene-Fernandez, DIEGO FABIÁN VIQUE LOPEZ, et al. · Frontiers in Digital Health (2026) | TGRS Research Map | TGRS