Latest AI and machine learning research in sports medicine for healthcare professionals.
BACKGROUND: Restoring the ability to work after hand injuries is a central goal of rehabilitation. Digital therapy applications are increasingly finding their way into everyday clinical practice. However, data on the influence of such technologies on parameters relevant to everyday life, such as the duration of incapacity to work, is still lacking. In particular, it is unclear whether app-supporte...
BACKGROUND: Acute kidney injury is a common complication after orthotopic heart transplantation. Previous models have failed to consider the impact of multiple hemodynamic parameters on prediction performance. The objective of this study was aimed to develop machine-learning models incorporating multiple hemodynamic parameters to predict the risk of developing acute kidney injury after orthotopic ...
Allergen immunotherapy (AIT) is currently the only disease-modifying therapy for allergic airway inflammation. However, its underlying mechanisms rema...
BACKGROUND: Bronchiectasis is a chronic neutrophilic respiratory disease frequently complicated by Pseudomonas aeruginosa (P. aeruginosa) infection. N...
Artificial intelligence (AI) is already fundamentally changing society, with medicine being no exception. AI will impact how we practice, how hospital...
BACKGROUND AND PURPOSE: With the exponential growth in the volume of competitive sports research, traditional bibliometric methods based on keyword co...
This study examines human arm kinematics during overground physical human-robot interaction (pHRI). Previous work showed humans adjust arm stiffness w...
This study aimed to compare four commonly used machine learning techniques, Support Vector Machine (SVM), XGBoost, Long Short-Term Memory (LSTM), and ...
Tuberculosis remains a major infectious disease worldwide and demands new therapeutic approaches capable of targeting intracellular Mycobacterium tube...
BACKGROUND: Although numerous studies have examined risk factors and prevention strategies for running-related injuries, few have rigorously tested pr...
PURPOSE: Calf muscle fatigue detection is essential for sports performance monitoring, injury prevention, rehabilitation, and tasks involving prolonge...
INTRODUCTION: Sports-related knee injuries are common and debilitating, often leading to chronic pain, early osteoarthritis, and reduced performance. ...
Renal ischemia-reperfusion injury (IRI) is a major cause of acute kidney injury, involving complex mechanisms of metabolic dysregulation and immune in...
BACKGROUND: Head-on-head impacts are a risk factor for concussion, which is a concern for sports. Computer vision frameworks may provide an automated ...
OBJECTIVE: We used machine learning (ML) to develop firearm risk prediction models for injured children and adolescents admitted to U.S. trauma center...
Qualitative research offers important insight into lived experiences of individuals with traumatic brain injury (TBI), particularly in the chronic pha...
Acute pesticide poisoning frequently leads to acute kidney injury (AKI), which is strongly associated with increased mortality. However, predictive re...
Anterior cruciate ligament (ACL) injuries are common in athletes and often result in long-term complications such as altered gait and an increased ris...
Acute respiratory distress syndrome (ARDS) is a heterogeneous clinical syndrome rather than a single disease. Patients who meet the same diagnostic cr...