Latest AI and machine learning research in sports medicine for healthcare professionals.
PURPOSE: To compare horizontal and vertical accelerations of lower limbs and pelvis during sprinting in collegiate football players between pre-injury (baseline) and return-to-sport (RTS) following hamstring strain injury (HSI). METHODS: This secondary analysis used inertial measurement unit (IMU) data from 14 NCAA Division I athletes enrolled in the Hamstring Injury (HAMIR) study, collected durin...
BACKGROUND: Falls are among the most common adverse events in hospitalized patients, with about 30% leading to injury. We developed a machine learning model to predict which in-hospital fall events would lead to patient injury, thereby supporting post-fall risk stratification. METHODS: We retrospectively analyzed data from 410 patients who had experienced falls at a tertiary general hospital in Ch...
Traumatic brain injury (TBI) is a major cause of mortality and persistent neurological disability and is increasingly recognized as a potential contri...
BACKGROUND: Early prediction of walking independence after hip fracture surgery can support perioperative decision-making and rehabilitation planning....
Peripheral nerve injuries (PNIs) severely impair motor and sensory function, diminishing patient independence and quality of life. Despite decades of ...
Traumatic dental injuries require rapid, accurate, and context-sensitive decisions, particularly during emergencies such as tooth avulsion, luxation i...
BACKGROUND: Rehabilitation is a core component of health systems worldwide, yet its conceptual boundaries remain heterogeneous and difficult to operat...
Elastic wood sponges are sustainable, low-cost, and multifunctional materials that have gained extensive attention and rapid development. However, the...
BACKGROUND: The prevalence, incidence rate and burden of injuries are high in rugby union. Despite the growing application of machine learning for inj...
BACKGROUND: Rehabilitation clinical practice guidelines (CPGs) have increased rapidly, but inconsistent methodological quality limits their implementa...
Visibility conditions play a critical role in road traffic crash outcomes, yet limited research has examined how combinations of ambient lighting and ...
BACKGROUND: Cardiovascular events are a leading cause of mortality after liver transplantation (LT), and existing risk scores incompletely capture myo...
Ischemic stroke and subsequent reperfusion injury are major causes of mortality and long-term neurological disability, driven by complex mechanisms of...
Hyperuricemia (HUA) and gout are increasingly prevalent metabolic disorders, imposing a substantial global health burden. Although conventional urate-...
To address the issues of insufficient objectivity and difficulty in locating muscle dysfunction in current lower-limb gait assessment methods, this pa...
Conductive hydrogels based on natural products are promising for wearable sensors owing to their low cost and good biocompatibility, but typically suf...
Human skin perceives both the magnitude and direction of mechanical stimuli, an essential capability for dexterous interaction yet fully unrealized in...
BACKGROUND: Non-pharmacological pain management represents an urgent clinical need. Emerging technologies such as virtual reality (VR) and electroence...
OBJECTIVE: To develop and validate interpretable machine learning (ML) survival models for predicting indwelling catheter time (ICT) in early-stage sp...
Budding yeast Saccharomyces cerevisiae and various non-conventional species are widely applied in the production of diverse industrial products, inclu...