Latest AI and machine learning research in sports medicine for healthcare professionals.
Stroke affects approximately 17 million individuals worldwide each year and is a leading cause of lo...
INTRODUCTION: Wearables have the potential to provide accurate estimates of tissue loads at common r...
BACKGROUND: Upper limb impairments are among the most common consequences following a stroke. Recent...
Laboratory studies have limitations in screening for anterior cruciate ligament (ACL) injury risk du...
Vestibular schwannomas (VS) are the most common tumor of the skull base with available treatment opt...
OBJECTIVE: The aim of the study is to review the literature regarding the current state and clinical...
This article studies the passive tracking problem of a wearable exoskeleton for lower limb rehabilit...
INTRODUCTION: About 17-80% stroke survivors experience the deficit of upper limb function, which str...
BACKGROUND: The aim of this retrospective cohort study was to develop and validate on multiple inter...
Lower limb impairments are common consequences of stroke. Robotics and virtual reality (VR) play cru...
Accurate, and objective diagnosis of brain injury remains challenging. This study evaluated useabili...
BACKGROUND: This study aimed to create a method for promptly predicting acute kidney injury (AKI) in...
OBJECTIVE: Understanding the characteristics related to cardiorespiratory fitness after stroke can p...
Upper-limb paralysis requires extensive rehabilitation to recover functionality for everyday living,...
INTRODUCTION: Exercise-based cardiac rehabilitation (ECR) has proven to be effective and cost-effect...
INTRODUCTION: Wrist arthroscopy is a rapidly expanding surgical discipline, but has a long and chall...
In response to the low real-time performance and accuracy of traditional sports injury monitoring, t...
Healthcare is experiencing a transformative phase, with artificial intelligence (AI) and machine lea...
BACKGROUND: Spinal cord injury (SCI) is a significant public health issue, leading to physical, psyc...
Trunk compensatory movements frequently manifest during robotic-assisted arm reaching exercises for ...
This study explored the application of machine learning in predicting post-treatment outcomes for ch...