Applications of Artificial Intelligence-Based Patient Digital Twins in Decision Support in Rehabilitation and Physical Therapy

Emilia Mikołajewska; Jolanta Masiak; Dariusz Mikołajewski

doi:10.3390/electronics13244994

journal article Open Access Dec 19, 2024

Applications of Artificial Intelligence-Based Patient Digital Twins in Decision Support in Rehabilitation and Physical Therapy

Emilia Mikołajewska Jolanta Masiak Dariusz Mikołajewski

Electronics Vol. 13 No. 24 pp. 4994 · MDPI AG

View at Publisher Save 10.3390/electronics13244994

Abstract

Artificial intelligence (AI)-based digital patient twins have the potential to make breakthroughs in research and clinical practices in rehabilitation. They make it possible to personalise treatment plans by simulating different rehabilitation scenarios and predicting patient-specific outcomes. DTs can continuously monitor a patient’s progress, adjusting therapy in real time to optimise recovery. They also facilitate remote rehabilitation by providing virtual models that therapists can use to guide patients without having to be physically present. Digital twins (DTs) can help identify potential complications or failures at an early stage, enabling proactive interventions. They also support the training of rehabilitation professionals by offering realistic simulations of different patient conditions. They can also increase patient engagement by visualising progress and potential future outcomes, motivating adherence to therapy. They enable the integration of multidisciplinary care, providing a common platform for different professionals to collaborate and improve rehabilitation strategies. The article aims to trace the current state of knowledge, research priorities, and research gaps in order to properly guide further research and shape decision support in rehabilitation.

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Details

Published: Dec 19, 2024
Vol/Issue: 13(24)
Pages: 4994
License: View

Authors

E

Emilia Mikołajewska

Department of Physiotherapy, Faculty of Health Sciences, Ludwik Rydygier Collegium Medicum in Bydgoszcz, Nicolaus Copernicus University, 85-067 Bydgoszcz, Poland

J

Jolanta Masiak

2nd Clinic of Psychiatry and Psychiatric Rehabilitation, Faculty of Medicine, Medical University, 20-059 Lublin, Poland

D

Dariusz Mikołajewski

2nd Clinic of Psychiatry and Psychiatric Rehabilitation, Faculty of Medicine, Medical University, 20-059 Lublin, Poland; Faculty of Computer Science, Kazimierz Wielki University, 85-064 Bydgoszcz, Poland

Cite This Article

Emilia Mikołajewska, Jolanta Masiak, Dariusz Mikołajewski (2024). Applications of Artificial Intelligence-Based Patient Digital Twins in Decision Support in Rehabilitation and Physical Therapy. Electronics, 13(24), 4994. https://doi.org/10.3390/electronics13244994

Applications of Artificial Intelligence-Based Patient Digital Twins in Decision Support in Rehabilitation and Physical Therapy

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