Artificial intelligence in physical rehabilitation: A systematic review
Background Physical disabilities become more common with advancing age. Rehabilitation
restores function, maintaining independence for longer. However, the poor availability and …
restores function, maintaining independence for longer. However, the poor availability and …
The role of artificial intelligence in future rehabilitation services: a systematic literature review
C Mennella, U Maniscalco, G De Pietro… - IEEE Access, 2023 - ieeexplore.ieee.org
Artificial intelligence technologies are considered crucial in supporting a decentralized
model of care in which therapeutic interventions are provided from a distance. In the last …
model of care in which therapeutic interventions are provided from a distance. In the last …
[HTML][HTML] Physiotherapy exercise classification with single-camera pose detection and machine learning
Access to healthcare, including physiotherapy, is increasingly occurring through virtual
formats. At-home adherence to physical therapy programs is often poor and few tools exist to …
formats. At-home adherence to physical therapy programs is often poor and few tools exist to …
Initial outcomes after unicompartmental tibiofemoral bipolar osteochondral and meniscal allograft transplantation in the knee using MOPS-preserved fresh (viable) …
JL Cook, K Rucinski, CR Crecelius… - The American Journal …, 2023 - journals.sagepub.com
Background: Unicompartmental tibiofemoral bipolar osteochondral allograft transplantation
(OCAT) with meniscal allograft transplantation (MAT) has not historically been associated …
(OCAT) with meniscal allograft transplantation (MAT) has not historically been associated …
[HTML][HTML] Personalized activity recognition with deep triplet embeddings
A significant challenge for a supervised learning approach to inertial human activity
recognition is the heterogeneity of data generated by individual users, resulting in very poor …
recognition is the heterogeneity of data generated by individual users, resulting in very poor …
[HTML][HTML] Evaluation of at-home physiotherapy: machine-learning prediction with smart watch inertial sensors
Aims An objective technological solution for tracking adherence to at-home shoulder
physiotherapy is important for improving patient engagement and rehabilitation outcomes …
physiotherapy is important for improving patient engagement and rehabilitation outcomes …
[HTML][HTML] Detection of low back physiotherapy exercises with inertial sensors and machine learning: Algorithm development and validation
A Alfakir, C Arrowsmith, D Burns, H Razmjou… - JMIR Rehabilitation …, 2022 - rehab.jmir.org
Background: Physiotherapy is a critical element in the successful conservative management
of low back pain (LBP). A gold standard for quantitatively measuring physiotherapy …
of low back pain (LBP). A gold standard for quantitatively measuring physiotherapy …
[HTML][HTML] Psychological, Pain, and Disability Factors Influencing the Perception of Improvement/Recovery from Physiotherapy in Patients with Chronic Musculoskeletal …
R La Touche, J Pardo-Montero, M Grande-Alonso… - Healthcare, 2023 - mdpi.com
Objectives: The aim of this study was to identify the possible relationships between
psychological, pain, and disability variables with respect to the perception of …
psychological, pain, and disability variables with respect to the perception of …
Advancements in the diagnosis and management of rotator cuff tears. The role of artificial intelligence
AV Garcia, KL Hsu, K Marinakis - Journal of Orthopaedics, 2023 - Elsevier
Background This review examined the role of artificial intelligence (AI) in the diagnosis and
management of rotator cuff tears (RCTs). Methods A literature search was conducted in …
management of rotator cuff tears (RCTs). Methods A literature search was conducted in …
Machine learning approaches applied in spinal pain research
The purpose of this narrative review is to provide a critical reflection of how analytical
machine learning approaches could provide the platform to harness variability of patient …
machine learning approaches could provide the platform to harness variability of patient …