Towards Effective Immersive Technologies in Medicine: Potential and Future Applications based on VR, AR, XR and AI solutions

Fuente: arXiv
Saved in:
Bibliographic Details
Main Authors: Marozau, Aliaksandr, Karpowicz, Barbara, Kowalewski, Tomasz, Zinevych, Pavlo, Stawski, Wiktor, Kuzdraliński, Adam, Kopeć, Wiesław
Format: Preprint
Published: 2025
Subjects:
Online Access:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866911077631000576
author Marozau, Aliaksandr
Karpowicz, Barbara
Kowalewski, Tomasz
Zinevych, Pavlo
Stawski, Wiktor
Kuzdraliński, Adam
Kopeć, Wiesław
author_facet Marozau, Aliaksandr
Karpowicz, Barbara
Kowalewski, Tomasz
Zinevych, Pavlo
Stawski, Wiktor
Kuzdraliński, Adam
Kopeć, Wiesław
contents Mixed Reality (MR) technologies such as Virtual and Augmented Reality (VR, AR) are well established in medical practice, enhancing diagnostics, treatment, and education. However, there are still some limitations and challenges that may be overcome thanks to the latest generations of equipment, software, and frameworks based on eXtended Reality (XR) by enabling immersive systems that support safer, more controlled environments for training and patient care. Our review highlights recent VR and AR applications in key areas of medicine. In medical education, these technologies provide realistic clinical simulations, improving skills and knowledge retention. In surgery, immersive tools enhance procedural precision with detailed anatomical visualizations. VR-based rehabilitation has shown effectiveness in restoring motor functions and balance, particularly for neurological patients. In mental health, VR has been successful in treating conditions like PTSD and phobias. Although VR and AR solutions are well established, there are still some important limitations, including high costs and limited tactile feedback, which may be overcome with implementing new technologies that may improve the effectiveness of immersive medical applications such as XR, psychophysiological feedback or integration of artificial intelligence (AI) for real-time data analysis and personalized healthcare and training.
format Preprint
id arxiv_https___arxiv_org_abs_2507_19466
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Towards Effective Immersive Technologies in Medicine: Potential and Future Applications based on VR, AR, XR and AI solutions
Marozau, Aliaksandr
Karpowicz, Barbara
Kowalewski, Tomasz
Zinevych, Pavlo
Stawski, Wiktor
Kuzdraliński, Adam
Kopeć, Wiesław
Human-Computer Interaction
Mixed Reality (MR) technologies such as Virtual and Augmented Reality (VR, AR) are well established in medical practice, enhancing diagnostics, treatment, and education. However, there are still some limitations and challenges that may be overcome thanks to the latest generations of equipment, software, and frameworks based on eXtended Reality (XR) by enabling immersive systems that support safer, more controlled environments for training and patient care. Our review highlights recent VR and AR applications in key areas of medicine. In medical education, these technologies provide realistic clinical simulations, improving skills and knowledge retention. In surgery, immersive tools enhance procedural precision with detailed anatomical visualizations. VR-based rehabilitation has shown effectiveness in restoring motor functions and balance, particularly for neurological patients. In mental health, VR has been successful in treating conditions like PTSD and phobias. Although VR and AR solutions are well established, there are still some important limitations, including high costs and limited tactile feedback, which may be overcome with implementing new technologies that may improve the effectiveness of immersive medical applications such as XR, psychophysiological feedback or integration of artificial intelligence (AI) for real-time data analysis and personalized healthcare and training.
title Towards Effective Immersive Technologies in Medicine: Potential and Future Applications based on VR, AR, XR and AI solutions
topic Human-Computer Interaction
url https://arxiv.org/abs/2507.19466