Sports Medicine

Creating a ClinFIT, the International Society of Physical and Rehabilitation Medicine's Clinical Functioning Information Tool, that Works for you.

Rehabilitation physicians worldwide have been called to take action to explore and implement the International Society of Physical and Rehabilitation Medicine's Clinical Functioning Information Tool - ClinFIT. ClinFIT is an International Classification of Functioning, Disability and Health-based and clinician-administered tool that can be used to systematically assess and report functioning of dif...

Precision medicine's inevitable trajectory toward rare-disease-sized cohorts: implications for machine learning and deep learning.

Although precision medicine redefines health care by tailoring treatments to highly specific patient subgroups, the rise of rare-disease-sized cohorts (RDSCs) presents a formidable challenge. RDSCs are the smaller fragmented datasets induced by the precision medicine paradigm; they strain traditional deep learning and machine learning approaches, which typically thrive on large-scale data. In this...

A multimodal multi-label deep learning framework with temporal attention for detection of upper-limb motor activities for prosthetic control.

Accurate detection of simultaneous grip and elbow flexion is critical for advanced rehabilitation monitoring, intuitive prosthetic control and human-m...

Bone morphology as a significant risk factor for anterior cruciate ligament injury.

Anterior cruciate ligament (ACL) injury is a prevalent sports-related trauma with significant impact on both professional athletes and young individua...

SynBio-DSP: an integrated synthetic biology platform with fed-batch fermentation and continuous downstream processing for sustainable production of thermostable cellulases.

BACKGROUND: The economic viability of enzymatic lignocellulosic biomass conversion is hindered by high production costs and energy-intensive recovery ...

Are magnetic resonance imaging features associated with intermittent and constant pain in knee osteoarthritis? A cross-sectional study.

OBJECTIVE: This study aims to explore the relationship between MRI structural morphotypes and intermittent and constant pain in knee osteoarthritis (K...

Artificial intelligence and machine learning in sports medicine: mapping clinical tasks and assessing clinical maturity - a scoping review.

BACKGROUND: Artificial intelligence (AI) and machine learning (ML) are rapidly transforming the medical field. The aim of this review was to outline t...

Tailoring silicone mixtures for soft robotics: predictive modeling and experimental validation in pneumatic soft actuators.

The development of soft robotics hinges on the ability to tailor material properties to meet specific application requirements. This study investigate...

An Ultrasoft Initiator-Free Eutectogel for Strain Sensing and Gesture Recognition Assisted by Machine Learning.

With the rapid development of Internet of Things and artificial intelligence technologies, flexible wearable sensors have shown great potential in hum...

Early cell-wall stress signatures enable 20-min ATR-FTIR discrimination of MRSA and MSSA.

Rapid identification of methicillin-resistant Staphylococcus aureus (MRSA) is crucial for early optimization of antibiotic treatment, but current rout...

Initial assessment of suspected cervical spine fracture in the emergency department: A contemporary narrative review.

Cervical spine fractures represent a potentially catastrophic consequence of blunt trauma. Early identification of unstable injuries is critical to pr...

From data to prevention: A systematic review of artificial intelligence applications in sports injury prediction.

PurposeArtificial intelligence (AI) shows considerable potential for sports injury prediction, yet a comprehensive methodological review of its empiri...

A Spatiotemporal Transformer Framework on 4D-CT for Early Prediction of Progressive Pulmonary Fibrosis.

Progressive pulmonary fibrosis (PPF) remains difficult to predict because static imaging may not fully capture regional respiratory motion, ventilatio...

Infections in Burn Patients: Pathophysiology, Prevention, and Contemporary Therapeutic Strategies in the Era of Antimicrobial Resistance.

Burn injuries are associated with significant morbidity and mortality, largely driven by infectious complications. Disruption of the skin barrier, sys...

ReflectoRNN: AI-Enabled In-Operando Optical Reflectometry for Evolving Materials Using a Recurrent Neural Network.

Complex refractive indices of materials encode fundamental information on light-matter interactions and are critical for the design of advanced photon...

Parameter-efficient adaptation of foundational models for automated myocardial strain analysis.

PURPOSE: Automated myocardial strain analysis requires accurate segmentation and motion tracking, but deep learning methods trained on one dataset oft...

[Prioritizing the development of clinical low vision rehabilitation institutions].

Low vision rehabilitation is an indispensable and integral part of the national eye health initiative, and it is directly related to the quality of li...

Advancing high-altitude medicine: a model for the future.

With rising global high-altitude travel, occupational exposure, and permanent habitation, the health burden of high-altitude-specific diseases and hig...

Cartilage Injury: Update on Diagnosis and Image-guided Therapy.

Cartilage injury is a prevalent source of pain and disability, often progressing to osteoarthritis if untreated. MR imaging represents the reference s...

Deep Learning-Driven Saccharide Online Sequencing for Elucidating the Pathological Alterations of Heparan Sulfate in APAP-Induced Acute Liver Injury.

Heparan sulfate (HS), one of the mostly negatively charged biomacromolecules anchored on the membrane surface of nearly all mammal cells, plays critic...