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eXtended Reality and Artificial Intelligence in Medicine and Rehabilitation

Publication ,  Journal Article
Krilavičius, T; De Paolis, LT; De Luca, V; Spjut, J
Published in: Information Systems Frontiers
February 1, 2025

This special issue focuses on the application of eXtended Reality (XR) technologies—comprising Virtual Reality (VR), Augmented Reality (AR), and Mixed Reality (MR)—and Artificial Intelligence (AI) in the fields of medicine and rehabilitation. AR provides support in minimally invasive surgery, where it visualises internal anatomical structures on the patient’s body and provides real-time feedback to improve accuracy, keep the surgeon’s attention and reduce the risk of errors. Furthermore, XR technologies can be used to develop applications for pre-operative planning or for training surgeons through serious games. AI finds applications both in medical image processing, for the recognition of anatomical structures and the reconstruction of 3D models, and in the analysis of biological data for patient monitoring and disease diagnosis. In rehabilitation, XR and AI can enable personalised therapy plans, increase patient engagement through immersive environments and provide real-time feedback to improve recovery outcomes. The papers in this special issue deal with rehabilitation through serious games, AI-enhanced XR applications for healthcare, digital twins and the analysis of bio/neuro-adaptive signals.

Duke Scholars

Published In

Information Systems Frontiers

DOI

EISSN

1572-9419

ISSN

1387-3326

Publication Date

February 1, 2025

Volume

27

Issue

1

Start / End Page

1 / 6

Related Subject Headings

  • Information Systems
  • 4610 Library and information studies
  • 4609 Information systems
  • 3503 Business systems in context
  • 0806 Information Systems
 

Citation

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Krilavičius, T., De Paolis, L. T., De Luca, V., & Spjut, J. (2025). eXtended Reality and Artificial Intelligence in Medicine and Rehabilitation. Information Systems Frontiers, 27(1), 1–6. https://doi.org/10.1007/s10796-025-10580-8
Krilavičius, T., L. T. De Paolis, V. De Luca, and J. Spjut. “eXtended Reality and Artificial Intelligence in Medicine and Rehabilitation.” Information Systems Frontiers 27, no. 1 (February 1, 2025): 1–6. https://doi.org/10.1007/s10796-025-10580-8.
Krilavičius T, De Paolis LT, De Luca V, Spjut J. eXtended Reality and Artificial Intelligence in Medicine and Rehabilitation. Information Systems Frontiers. 2025 Feb 1;27(1):1–6.
Krilavičius, T., et al. “eXtended Reality and Artificial Intelligence in Medicine and Rehabilitation.” Information Systems Frontiers, vol. 27, no. 1, Feb. 2025, pp. 1–6. Scopus, doi:10.1007/s10796-025-10580-8.
Krilavičius T, De Paolis LT, De Luca V, Spjut J. eXtended Reality and Artificial Intelligence in Medicine and Rehabilitation. Information Systems Frontiers. 2025 Feb 1;27(1):1–6.
Journal cover image

Published In

Information Systems Frontiers

DOI

EISSN

1572-9419

ISSN

1387-3326

Publication Date

February 1, 2025

Volume

27

Issue

1

Start / End Page

1 / 6

Related Subject Headings

  • Information Systems
  • 4610 Library and information studies
  • 4609 Information systems
  • 3503 Business systems in context
  • 0806 Information Systems