Orthopedics

Sports Medicine

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

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Orthopedics Subcategories: Sports Medicine
Showing 274-294 of 6,957 articles
Texture-based probability mapping for automatic assessment of myocardial injury in late gadolinium enhancement images after revascularized STEMI.

BACKGROUND: Late Gadolinium-enhancement in cardiac magnetic resonance imaging (LGE-CMR) is the gold ...

Rehabilitation of a Terminal Dentition Patient Using an Immediate Loading Protocol With a Virtual Patient-Assisted Workflow: A Case Report.

OBJECTIVES: To demonstrate the implementation of a digital workflow for the rehabilitation of a term...

A deep learning and statistical shape modeling-based method for assessing intercondylar notch volume in anterior cruciate ligament reconstruction.

BACKGROUND: Anterior cruciate ligament (ACL) reconstruction is a widely performed procedure for ACL ...

Novel Robotic Balloon-Based Device for Wrist-Extension Therapy of Hemiparesis Stroke Patients.

Upper-limb paresis is one of the main complications after stroke. It is commonly associated with imp...

Investigation of Trajectory Tracking Control in Hip Joints of Lower-Limb Exoskeletons Using SSA-Fuzzy PID Optimization.

The application of lower-limb exoskeleton robots in rehabilitation is becoming more prevalent, where...

Predictive utility of the machine learning algorithms in predicting tendinopathy: a meta-analysis of diagnostic test studies.

BACKGROUND: Tendinopathy, a degenerative condition of tendon collagen protein, is a common sports in...

Diastolic Versus Systolic or Mean Intraoperative Hypotension as Predictive of Perioperative Myocardial Injury in a White-Box Machine-Learning Model.

BACKGROUND: Intraoperative hypotension (IOH) and tachycardia are associated with perioperative myoca...

Effect of Parallel Cognitive-Motor Training Tasks on Hemodynamic Responses in Robot-Assisted Rehabilitation.

Previous studies suggest that the combination of robot-assisted training with other concurrent task...

Machine Learning Approaches to Prognostication in Traumatic Brain Injury.

PURPOSE OF REVIEW: This review investigates the use of machine learning (ML) in prognosticating outc...

Clinical efficacy of NIBS in enhancing neuroplasticity for stroke recovery.

BACKGROUND: For stroke patients, a therapeutic approach named Non-invasive brain stimulation (NIBS) ...

A web-based artificial intelligence system for label-free virus classification and detection of cytopathic effects.

Identifying viral replication within cells demands labor-intensive isolation methods, requiring spec...

Developing practical machine learning survival models to identify high-risk patients for in-hospital mortality following traumatic brain injury.

Machine learning (ML) offers precise predictions and could improve patient care, potentially replaci...

Injury degree appraisal of large language model based on retrieval-augmented generation and deep learning.

Large Language Models (LLMs) have shown impressive performance in various natural language processin...

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