Beyond technological immersion: augmented and mixed reality in undergraduate medical education. A critical review of comparative studies.
Abstract
Introduction: Augmented reality (AR) and mixed reality (MR) integrate digital information with the physical environment, but their educational value depends on learning outcomes. Objective: To critically examine comparative studies of AR/MR in undergraduate medical education, considering the assessed competency and instructional design. Methods: This critical review used narrative synthesis of a corpus located through prior reviews and progressive PubMed searches carried out from January to September 2026, with a bibliographic cutoff of 29 September 2026. Outcomes included knowledge, spatial understanding, procedural performance, retention and transfer; learner experience was considered secondary. Directly relevant reports were distinguished from supplementary evidence limited by population or document access. Results: Eighteen reports published between 2017 and 2026 were examined (16 directly relevant and two contextual). Benefits in selected anatomical and procedural tasks coexisted with comparisons showing no statistically significant differences. Immediate gains were not consistently sustained. In POCUS, non-inferiority for specific measurements was sensitive to analytical exclusions; lumbar puncture training did not demonstrate higher clinical success. Conclusions: The evidence examined suggests task-specific benefits without establishing general superiority of AR/MR. Alignment between technology, learning activity and competency is a plausible educational explanation. Non-exhaustive coverage, study limitations and the absence of a complete formal risk-of-bias and certainty assessment restrict curricular recommendations.
Downloads
-
Abstract41
-
pdf (Español (España))22
-
pdf22
-
Anexo 1 (Español (España))3
References
1. Barteit S, Lanfermann L, Bärnighausen T, et al. Augmented, Mixed, and Virtual Reality-Based Head-Mounted Devices for Medical Education: Systematic Review. JMIR Serious Games. 2021, 9, e29080. https://doi.org/10.2196/29080
2. Dhar P, Rocks T, Samarasinghe RM, et al. Augmented reality in medical education: students’ experiences and learning outcomes. Med Educ Online. 2021, 26, 1953953. https://doi.org/10.1080/10872981.2021.1953953
3. Baashar Y, Alkawsi G, Wan Ahmad WNW, et al. Effectiveness of Using Augmented Reality for Training in the Medical Professions: Meta-analysis. JMIR Serious Games. 2022, 10, e32715. https://doi.org/10.2196/32715
4. Zhang R, Jin X, Liu M, et al. The effectiveness of augmented reality/mixed reality in medical education: a meta-analysis. BMC Med Educ. 2025, 25, 1586. https://doi.org/10.1186/s12909-025-08166-8
5. Williams A, Sun Z, Vaccarezza M. Comparison of augmented reality with other teaching methods in learning anatomy: A systematic review. Clin Anat. 2025, 38, 168-185. https://doi.org/10.1002/ca.24234
6. García-Robles P, Cortés-Pérez I, Nieto-Escámez FA, et al. Immersive virtual reality and augmented reality in anatomy education: A systematic review and meta‐analysis. Anat Sci Educ. 2024, 17, 514-528. https://doi.org/10.1002/ase.2397
7. Moro C, Birt J, Stromberga Z, et al. Virtual and Augmented Reality Enhancements to Medical and Science Student Physiology and Anatomy Test Performance: A Systematic Review and Meta‐Analysis. Anat Sci Educ. 2021, 14, 368-376. https://doi.org/10.1002/ase.2049
8. Mahmud M, Sari DCR, Sari D, et al. The application of augmented reality for improving clinical skills: a scoping review. Korean J Med Educ. 2024, 36, 65-79. https://doi.org/10.3946/kjme.2024.285
9. González ST, Ibeas C, Gravert I, et al. Características de un escenario de Realidad Virtual para el aprendizaje de anatomía: Una revisión bibliográfica. Rev Esp Edu Med. 2022, 3, 81-92. https://doi.org/10.6018/edumed.542861
10. Ampuero IP, Riquelme-Vilches V, Vargas E, et al. Influencia de las Herramientas Tecnológicas en la Enseñanza de la Morfología en la Educación Médica: Una Revisión Sistemática. Rev Esp Edu Med. 2024, 5, 631071. https://doi.org/10.6018/edumed.631071
11. Campbell M, McKenzie JE, Sowden A, et al. Synthesis without meta-analysis (SWiM) in systematic reviews: reporting guideline. BMJ. 2020, 368, l6890. https://doi.org/10.1136/bmj.l6890
12. Sterne JAC, Savović J, Page MJ, et al. RoB 2: a revised tool for assessing risk of bias in randomised trials. BMJ. 2019, 366, l4898. https://eprints.whiterose.ac.uk/id/eprint/150579/
13. Sterne JA, Hernán MA, Reeves BC, et al. ROBINS-I: a tool for assessing risk of bias in non-randomised studies of interventions. BMJ. 2016, 355, i4919. https://doi.org/10.1136/bmj.i4919
14. Weeks JK, Pakpoor J, Park BJ, et al. Harnessing Augmented Reality and CT to Teach First-Year Medical Students Head and Neck Anatomy. Acad Radiol. 2021, 28, 871-876. https://doi.org/10.1016/j.acra.2020.07.008
15. Stojanovska M, Tingle G, Tan L, et al. Mixed Reality Anatomy Using Microsoft HoloLens and Cadaveric Dissection: A Comparative Effectiveness Study. Med Sci Educ. 2020, 30, 173-178. https://doi.org/10.1007/s40670-019-00834-x
16. Pickering JD, Panagiotis A, Ntakakis G, et al. Assessing the difference in learning gain between a mixed reality application and drawing screencasts in neuroanatomy. Anat Sci Educ. 2022, 15, 628-635. https://doi.org/10.1002/ase.2113
17. Zeedzen I, Karstens J, van den Hurk M, et al. Comparing the effectiveness of augmented reality and anatomical atlases in student preparation for neuroanatomy dissection. Sci Rep. 2024, 14, 24939. https://doi.org/10.1038/s41598-024-76379-w
18. Zingg L, Häusler M, Hein J, et al. Using Hologram-Based Augmented Reality in Anatomy Learning: The TEACHANATOMY Randomized Trial. Acad Med. 2025, 100, 695-704. https://doi.org/10.1097/ACM.0000000000006012
19. Starszak K, Karaś R, Bajor G, et al. Advancing anatomical education: comparative effectiveness of mixed reality and 3D printing technologies. BMC Med Educ. 2026, 26, 734. https://doi.org/10.1186/s12909-026-08959-5
20. Xiao R, Chen X, Yang X, et al. Enhancing Histological Learning Through Augmented Reality: A Comparative Study of Traditional Microscopy and AR-Based Instruction. Clin Anat. 2026, publicación anticipada en línea. https://doi.org/10.1002/ca.70139
21. Schoeb DS, Schwarz J, Hein S, et al. Mixed reality for teaching catheter placement to medical students: a randomized single-blinded, prospective trial. BMC Med Educ. 2020, 20, 510. https://doi.org/10.1186/s12909-020-02450-5
22. Guha P, Lawson J, Minty I, et al. Can mixed reality technologies teach surgical skills better than traditional methods? A prospective randomised feasibility study. BMC Med Educ. 2023, 23, 144. https://doi.org/10.1186/s12909-023-04122-6
23. Hadida Barzilai D, Tejman‐Yarden S, Yogev D, et al. Augmented Reality‐Guided Mastoidectomy Simulation: A Randomized Controlled Trial Assessing Surgical Proficiency. Laryngoscope. 2025, 135, 894-900. https://doi.org/10.1002/lary.31791
24. Hayasaka T, Kawano K, Onodera Y, et al. Comparison of accuracy between augmented reality/mixed reality techniques and conventional techniques for epidural anesthesia using a practice phantom model kit. BMC Anesthesiol. 2023, 23, 171. https://doi.org/10.1186/s12871-023-02133-w
25. Farshad NA, Kubik RA, Kolling C, et al. Learning how to perform ultrasound-guided interventions with and without augmented reality visualization: a randomized study. Eur Radiol. 2023, 33, 2927-2934. https://doi.org/10.1007/s00330-022-09220-5
26. Sarkar K, Coote J, Abdul R, et al. Feasibility, Adoption, and Utility of Augmented Reality in Lumbar Puncture Simulation by Medical Students: A Pilot Study. J Med Ext Real. 2024, 1, 191-202. https://doi.org/10.1089/jmxr.2024.0001
27. Felten R, Bigaut K, Wirth T, et al. Advancing medical training with augmented reality and haptic feedback simulator: outcomes of a randomized controlled trial on lumbar puncture. BMC Med Educ. 2025, 25, 1231. https://doi.org/10.1186/s12909-025-07536-6
28. Mulder TA, Jacobs RC, Zuurmond MS, et al. Augmedicine: Ultrasound: Training in ultrasound using XR – a randomized controlled trial. BMC Med Educ. 2026, 26, 778. https://doi.org/10.1186/s12909-026-08897-2
29. Noll C, von Jan U, Raap U, et al. Mobile Augmented Reality as a Feature for Self-Oriented, Blended Learning in Medicine: Randomized Controlled Trial. JMIR Mhealth Uhealth. 2017, 5, e139. https://doi.org/10.2196/mhealth.7943
30. Malik R, Abbas JR, Jayarajah C, et al. Mixed Reality Enhanced Otolaryngology Case‐Based Learning: A Randomized Educational Study. Laryngoscope. 2023, 133, 1606-1613. https://doi.org/10.1002/lary.30364
31. d’Aiello AF, Cabitza F, Natali C, et al. The Effect of Holographic Heart Models and Mixed Reality for Anatomy Learning in Congenital Heart Disease: An Exploratory Study. J Med Syst. 2023, 47, 64. https://doi.org/10.1007/s10916-023-01959-8
32. Tang KS, Cheng DL, Mi E, et al. Augmented reality in medical education: a systematic review. Can Med Educ J. 2020, 11, e81-e96. https://doi.org/10.36834/cmej.61705
33. Betancourt Masri L, Bello Astorga W, Osses Alvarado I, et al. Influencia del uso de nuevas tecnologías en la educación de semiología médica. Revisión sistemática. Rev Esp Edu Med. 2024, 5, 631521. https://doi.org/10.6018/edumed.631521
34. Zelada Espejo MI, Segura Beltrán F, Margas Cavieres F, et al. Impacto de la impresión 3D en el aprendizaje de estudiantes de medicina: una revisión sistemática. Rev Esp Edu Med. 2024, 5, 626811. https://doi.org/10.6018/edumed.626811
35. Batista GY, Villavicencio Cedeño LB. Uso de aprendizaje inteligente y rutinas del pensamiento en la enseñanza de la Bioquímica Médica. Educ Med Super. 2025, 39, e4667. https://ems.sld.cu/index.php/ems/article/view/4667.
36. Batista GY, Villavicencio Cedeño LB. Virtualidad en educación médica: oportunidades para América Latina. Investig Educ Med. 2026, 15(57), 132-133. https://doi.org/10.22201/fm.20075057e.2026.57.25747
Copyright (c) 2026 Servicio de Publicaciones de la Universidad de Murcia

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
The works published in this magazine are subject to the following terms:
1. The Publications Service of the University of Murcia (the publisher) preserves the economic rights (copyright) of the published works and favors and allows them to be reused under the use license indicated in point 2.
2. The works are published under a Creative Commons Attribution-NonCommercial-NoDerivative 4.0 license.
3. Self-archiving conditions. Authors are allowed and encouraged to disseminate electronically the pre-print versions (version before being evaluated and sent to the journal) and / or post-print (version evaluated and accepted for publication) of their works before publication , since it favors its circulation and earlier diffusion and with it a possible increase in its citation and reach among the academic community.












