Background Physical disabilities become more common with advancing age. Rehabilitation
restores function, maintaining independence for longer. However, the poor availability and …

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 …

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 …

Background: Unicompartmental tibiofemoral bipolar osteochondral allograft transplantation
(OCAT) with meniscal allograft transplantation (MAT) has not historically been associated …

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 …

Aims An objective technological solution for tracking adherence to at-home shoulder
physiotherapy is important for improving patient engagement and rehabilitation outcomes …

Background: Physiotherapy is a critical element in the successful conservative management
of low back pain (LBP). A gold standard for quantitatively measuring physiotherapy …

Objectives: The aim of this study was to identify the possible relationships between
psychological, pain, and disability variables with respect to the perception of …

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 …

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 …