Sports Medicine

AI-Powered Robotics Are Personalizing Rehabilitation.

Rehabilitation is crucial for making a full recovery from surgery or managing a chronic physical disability, but it can be resource-intensive and highly individual in treatment response. In this News and Perspectives article, JMIR Correspondent Benedette Cuffari reports on robotics in rehabilitation and how AI is helping to make it more personalized, efficient, and effective.

When algorithms don't care: physiotherapy and the post-professional turn.

Physiotherapy has long resisted the forces that restructured manufacturing, journalism, and finance. This resistance is ending. Drawing on Gilles Deleuze's prescient analysis of societies of control, this paper argues that physiotherapy - along with the orthodox health professions more broadly - is entering a post-professional era characterized by the progressive marginalization of practitioners i...

Construction of an associative model for prolonged intensive care unit stay in sepsis patients combined with myocardial injury.

OBJECTIVE: This study aimed to identify the factors contributing to Prolonged Length of Stay (PLOS) in intensive care units for sepsis patients combin...

Predicting Strain-Specific Metabolic Capabilities in the Genus Pseudomonas with a Flux-to-AI Approach Reveals Hidden Cell Envelope Properties.

Bacteria from the Pseudomonas genus are omnipresent in air, soil, and water. They have been widely studied for their broad metabolic versatility and t...

Bridging fibrosis and function: an integrated mechanistic and therapeutic framework for Peyronie's disease and related erectile dysfunction.

INTRODUCTION: Peyronie's disease (PD) and erectile dysfunction (ED) are prevalent and frequently coexisting male sexual disorders that share endotheli...

Proactive concussion prediction using symmetry-aware multiscale explainable hybrid deep learning and multimodal data fusion.

Diagnosis of concussion has been hampered by its subtle and late symptoms, the reliance on subjective judgment, and the lack of real-time multimodal d...

Research hotspots, knowledge structure, and emerging trends in healthcare robotics for older adults: a bibliometric analysis (2015-2026).

Although applications in the field of Robotic Technologies for Older Adults' Healthcare are becoming increasingly widespread, existing research has la...

Global research trends in perioperative pressure injury prevention: A bibliometric analysis from repositioning to technology-assisted strategies.

BACKGROUND: Perioperative pressure injuries remain a major patient safety challenge, particularly among critically ill and immobilised patients. Altho...

AI-Assisted Real-Time Tracking of Subnanometer Strain Relaxation during Heteroepitaxy.

Understanding strain relaxation during the initial stages of heteroepitaxy is essential for controlling interfacial structure and film quality, yet di...

Left Atrial Reservoir Strain Improves Sudden Cardiac Death Risk Stratification in Hypertrophic Cardiomyopathy.

BACKGROUND: Current risk scores for sudden cardiac death (SCD) in hypertrophic cardiomyopathy (HCM) have limited ability to identify high-risk subgrou...

Stephania cepharantha Hayata (Baiyaozi) attenuates cirrhosis-associated intestinal barrier injury by restoring mitochondrial function and suppressing PI3K/AKT signaling.

ETHNOPHARMACOLOGICAL RELEVANCE: Baiyaozi, the dried tuberous root of Stephania cepharantha Hayata, has long been used in traditional Chinese medicine ...

Clinically interpretable prediction models of stroke functional outcomes: A national cohort study of adults in inpatient rehabilitation facilities in the US.

OBJECTIVE: To predict self-care and mobility function at discharge from inpatient rehabilitation for adults with stroke using only variables from the ...

[Advances in phage therapy for pneumonia caused by Klebsiella pneumoniae].

Klebsiella pneumoniae (KP) has emerged as a formidable nosocomial pathogen in the era of antimicrobial resistance, with mortality from pneumonia cause...

Digital and Smart Technologies for Early Pressure Injury Detection and Prevention in Stroke and Mobility-Impaired Patients: A Scoping Review.

BACKGROUND: Pressure injuries remain a major complication among stroke and other mobility-impaired populations. Digital and smart technologies are inc...

Using Machine Learning to Explain Recreational Running Injury: An Exploratory Classification Analysis.

CONTEXT: Running is good for overall health but has a poorly understood risk of injury. Wearable technology and machine learning (ML) offer solutions ...

Diagnostic decision-making, vertebral augmentation, and osteoporosis therapy in vertebral compression fractures: a narrative review.

Vertebral compression fractures (VCFs) represent the most prevalent osteoporotic fracture and constitute a growing cause of morbidity, mortality, and ...

Time-Domain HRV Metrics as Predictors of Concussion Recovery in Adolescents: A Boosted Tree Approach.

BACKGROUND: Concussions in adolescents, especially in sports, represent a major public health issue due to prolonged recovery and diagnostic challenge...

Manual and automated capture of analgesic-responsive facial pain behaviors of unrestrained mice in a trigeminal neuralgia model.

Trigeminal neuralgia (TN), a devastating neuropathic pain condition, profoundly affects human well-being. Despite an initial response to carbamazepine...

Distinct recovery phenotypes after hip arthroscopy reveal dissociation between daily function and sports performance.

BACKGROUND: Hip arthroscopy outcomes for femoroacetabular impingement remain heterogeneous. The Hip Outcome Score (HOS) comprises 2 distinct subscales...

The Open Data Commons for Traumatic Brain Injury: An Interagency Community Platform for Pre-Clinical Data Management and Sharing.

The Open Data Commons for Traumatic Brain Injury (ODC-TBI.org) was launched in 2018 to support data sharing in pre-clinical TBI. As data science and a...