AHCI RESEARCH GROUP
Publications
Papers published in international journals,
proceedings of conferences, workshops and books.
OUR RESEARCH
Scientific Publications
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You can use the tag cloud to select only the papers dealing with specific research topics.
You can expand the Abstract, Links and BibTex record for each paper.
2025
Mekki, Y. M.; Simon, L. V.; Freeman, W. D.; Qadir, J.
Medical Education Metaverses (MedEd Metaverses): Opportunities, Use Case, and Guidelines Journal Article
In: Computer, vol. 58, no. 3, pp. 60–70, 2025, ISSN: 00189162 (ISSN).
Abstract | Links | BibTeX | Tags: Adaptive feedback, Augmented Reality, Immersive learning, Medical education, Metaverses, Performance tracking, Remote resources, Remote training, Resource efficiencies, Training efficiency, Virtual environments
@article{mekki_medical_2025,
title = {Medical Education Metaverses (MedEd Metaverses): Opportunities, Use Case, and Guidelines},
author = {Y. M. Mekki and L. V. Simon and W. D. Freeman and J. Qadir},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85218631349&doi=10.1109%2fMC.2024.3474033&partnerID=40&md5=65f46cf9b8d98eaf0fcd6843b9ebc41e},
doi = {10.1109/MC.2024.3474033},
issn = {00189162 (ISSN)},
year = {2025},
date = {2025-01-01},
journal = {Computer},
volume = {58},
number = {3},
pages = {60–70},
abstract = {This article explores how artificial intelligence (AI), particularly generative AI (GenAI), can enhance extended reality (XR) applications in medical education (MedEd) metaverses. We compare traditional augmented reality/virtual reality methods with AI-enabled XR metaverses, highlighting improvements in immersive learning, adaptive feedback, personalized performance tracking, remote training, and resource efficiency. © 1970-2012 IEEE.},
keywords = {Adaptive feedback, Augmented Reality, Immersive learning, Medical education, Metaverses, Performance tracking, Remote resources, Remote training, Resource efficiencies, Training efficiency, Virtual environments},
pubstate = {published},
tppubtype = {article}
}
This article explores how artificial intelligence (AI), particularly generative AI (GenAI), can enhance extended reality (XR) applications in medical education (MedEd) metaverses. We compare traditional augmented reality/virtual reality methods with AI-enabled XR metaverses, highlighting improvements in immersive learning, adaptive feedback, personalized performance tracking, remote training, and resource efficiency. © 1970-2012 IEEE.