Impact of Artificial Intelligence in the Physiotherapy Rehabilitation of Distal Radial Fracture Patients: A Review

Abstract

Background: Physiotherapy is the desired therapeutic intervention for the recovery of fractures and discomfort associated with bones. In certain cases the patient may suffer from extreme pain because of sudden jerks or injuries. The goal of this review was to map out the available literature on virtual reality in distal radius fracture rehabilitation across physiotherapy disciplines. Methods: An extensive and systematic search of the following databases was undertaken- Embase, Cochrane Library, PEDro, and CINAHL. The MeSH search items used were articles with “artificial intelligence, “machine learning” “virtual reality” “physiotherapy”. Articles were identified if they described an intervention which is considered within the scope of a physiotherapist and targeted those with DRF. Results: Total 35 were initially procured from which 26 articles were included, out of which 13 were observational, 6 Randomized Control Trials, 2 qualitative, 2 surveys and 3 systematic reviews. Only 9 studies focused explicitly on physiotherapy interventions. Conclusion: The results of there view indicate that there is insufficient evidence to direct physical therapists in the treatment of individual with distal radius fracture using artificial intelligence.