Orthopedics

Sports Medicine

Latest AI and machine learning research in sports medicine for healthcare professionals.

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Orthopedics Subcategories: Sports Medicine
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Robust skeletal motion tracking using temporal and spatial synchronization of two video streams.

Accurate and reliable skeletal motion tracking is essential for rehabilitation monitoring, enabling ...

Spatiotemporal instability analysis of active traveller injury severities with small sample size and imbalanced crash data.

Active traveller (including pedestrians and bicyclists) crashes pose significant challenges to susta...

Modeling highway-rail grade crossing (HRGC) crash severity using statistical and machine learning methods.

A principal safety issue at highway-rail grade crossings (HRGCs) is the severity of crashes. Althoug...

Improving Phase Stability of α-CsPbI through Combined Strain-Doping Engineering: Insights from First-Principles Calculations and Machine Learning.

The all-inorganic perovskite of cubic CsPbI (α-CsPbI) exhibited high thermal stability, owing to the...

Enhanced gastrocnemius-mimicking lower limb powered exoskeleton robot.

BACKGROUND: Lower limb muscle bionic devices have attracted significant attention in rehabilitation ...

Machine learning-based prediction of circuit clotting during pediatric continuous kidney replacement therapy sessions.

BACKGROUND: Continuous kidney replacement therapy (CKRT) is commonly used for managing acute kidney ...

Unraveling Liver Cirrhosis: Bridging Pathophysiology to Innovative Therapeutics.

Liver cirrhosis is a complex and progressive condition resulting from sustained liver injury and chr...

Impact of AI assistance on radiologist interpretation of knee MRI.

OBJECTIVES: Knee injuries frequently require Magnetic Resonance Imaging (MRI) evaluation, increasing...

Circuit re-construction after traumatic spinal cord injury by cellular and pharmacological approaches.

Extensive neuronal loss, progressive neurodegeneration, and circuit impairment are the key pathologi...

Enhanced Detection, Using Deep Learning Technology, of Medial Meniscal Posterior Horn Ramp Lesions in Patients with ACL Injury.

BACKGROUND: Meniscal ramp lesions can impact knee stability, particularly when associated with anter...

Technological advancements in sports injury: diagnosis and treatment.

Sports injuries are a significant concern for athletes at all levels of competition, ranging from ac...

Digital Therapeutics in Cardiovascular Healthcare: A Narrative Review.

The rapid development of digital therapeutics (DTx) presents opportunities for cardiovascular diseas...

A Study of Spontaneous Self-Injurious Behavior and Neuroimaging in Rhesus Macaques.

Nonsuicidal self-injury (NSSI) demonstrates escalating prevalence among adolescents as a maladaptive...

Development and validation of a real-time risk prediction model for acute kidney injury in hospitalized pediatric patients.

BACKGROUND: Acute kidney injury is associated with a prolonged hospital stay and high mortality for ...

Systematic data management for effective AI-driven decision support systems in robotic rehabilitation.

Robotic rehabilitation is becoming a standard in post-stroke physical rehabilitation, and these setu...

[Digital workflow for full mouth rehabilitation of natural dentition].

With the continuous advancement of dental medicine and the increasing prevalence of digital technolo...

Gait training using powered robotic exoskeleton for a person with spinal cord injury: a case report.

INTRODUCTION: Robotic Exoskeleton-assisted gait training is an emerging approach in spinal cord inju...

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