Sports Medicine

Advances in Mass Spectrometry-Based Proteomics for Kidney Disease Biomarker Discovery and Clinical Translation.

The high prevalence and substantial burden of kidney diseases necessitate advanced approaches to elucidate molecular mechanisms and promote precision medicine. Mass spectrometry (MS)-based proteomics has evolved into a widely used analytical platform, delivering high-sensitivity, high-throughput protein profiling capabilities that have contributed substantially to biomarker discovery, mechanistic ...

Readability and Quality of Large Language Model Patient Education for Trigeminal Neuralgia: A Cross-Sectional Study.

Large language models (LLMs) are increasingly used for patient health education, yet the readability and educational quality of LLM-generated information on trigeminal neuralgia (TN) have been insufficiently evaluated. This cross-sectional benchmarking study compared TN educational content generated by five publicly available LLMs (Doubao, DeepSeek, Wenxin Yiyan, Tongyi Qianwen, and GPT-5). Twenty...

Does preceding crash information improve classification of injury involvement in subsequent expressway crashes? The role of spatiotemporal linkage.

OBJECTIVES: To determine whether preceding-crash characteristics add information for classifying injury involvement in a later expressway crash after ...

An HConvLSTM model with explainable feature weighting for traffic crash injury severity prediction.

OBJECTIVE: Traffic crash injury severity prediction provides an important basis for intelligent transportation risk management and emergency resource ...

Mechanisms of brain-body interactions in post-stroke visceral dysfunction and recovery.

Traditionally, stroke has been characterized as an acute focal brain injury; however, its clinical consequences extend beyond neurological deficits to...

Robot-assisted rehabilitation therapy for adhesive capsulitis: A pilot randomized controlled trial on clinical and patient-reported outcomes.

BACKGROUND: Adhesive capsulitis, commonly known as frozen shoulder, presents with pain and restricted movement. Treatments include physical therapy fo...

A grade-specific clinical prediction rule for independent walking after traumatic spinal cord injury.

OBJECTIVE: To identify significant predictors for individual American Spinal Injury Association Impairment Scale (AIS) grades, and develop a clinical ...

Machine Learning Predicts Functional Decline and Risk Phenotypes in Older Patients With Heart Failure.

BACKGROUND: Preserving functional independence is critical in older patients with heart failure (HF), yet tools predicting long-term functional trajec...

A parallel framework correlating AI radiographic diagnosis with computational biomechanics for tibial plateau fractures in wushu athletes.

OBJECTIVES: Tibial plateau fractures (TPFs) are serious knee injuries frequently associated with high-impact sports such as Wushu. This study proposes...

A data-driven approach to define the stages and patterns of neurological recovery after traumatic spinal cord injury.

BACKGROUND: Recovery after spinal cord injury (SCI) follows a complex and variable trajectory, yet the field lacks clear, data-driven definitions of t...

The Eye as a Window to Cardio-Kidney-Metabolic Disease.

The Cardiovascular-Kidney-Metabolic (CKM) syndrome reframes cardiovascular, kidney, and metabolic disease as an integrated continuum, yet its manageme...

Optimization of hospitalization duration and cost structure for chronic schizophrenia patients in psychiatric hospitals.

OBJECTIVE: Chronic schizophrenia patients in psychiatric hospitals often have prolonged stays, high insurance resource consumption, and low efficiency...

Foundation Model Forecasting of Headache Days in People With Persisting Postconcussion Symptoms.

OBJECTIVES: We aimed to forecast headache in individuals with persisting postconcussion symptoms using foundation machine learning (ML) models and mul...

Deep learning-derived left ventricular circumferential strain for cardiac MRI diagnosis of acute myocarditis with preserved ejection fraction.

To evaluate the diagnostic performance of deep learning-derived left ventricular circumferential strain (DL-LVCS), a method that reduces operator depe...

MultiFPE: Multi-Representation Fusion Network for Facial Palsy Evaluation in Facial Videos.

Facial palsy is a common neuromuscular disorder that severely affects patients' physical and mental health. Facial palsy evaluation (FPE) is crucial f...

IShuffleNet-PCNN hybrid classifier within an MResU-Net-based framework for spinal cord injury detection and classification using CT images.

BACKGROUND: Spinal cord injury (SCI) is a serious medical condition. Spinal Cord Injury limits the movement of the body, blocks the nervous system and...

Correction to "Contributing factors to beneficence and nonmaleficence in police-led jail diversion programs" by Petreca et al. (2025).

UNLABELLED: Reports an error in "Contributing factors to beneficence and nonmaleficence in police-led jail diversion programs" by Victor G. Petreca, M...

Clustering analysis of hamstring injuries-A pilot study to determine phenogroups based on injury characteristics and recovery duration.

PURPOSE: The objective of this pilot study was to determine clinically relevant phenogroups of professional football players with hamstring injuries u...

From Collapse to Active Self-Repair: Integrative Multi-Omics and Machine Learning Analysis Map the Hepatic Metabolic Adaption in Response to Simulated Spaceflight Stress.

Long-term spaceflight poses substantial challenges to human physiology, with the liver being highly susceptible due to its central metabolic role. To ...

Analysis of deep learning techniques in computer-aided diagnosis for meniscus injuries: a systematic literature review.

Meniscus informatics is a growing subject of study in the healthcare industry. One of the major hindrances to the healthcare system's transformation i...