Sports Medicine

Estimating Nonfatal Gunshot Injury Locations With Natural Language Processing and Machine Learning Models.

IMPORTANCE: Nonfatal gunshot injuries are the most common firearm injury, but where they frequently ...

Predicting acute kidney injury in critically ill patients using comorbid conditions utilizing machine learning.

BACKGROUND: Acute kidney injury (AKI) carries a poor prognosis. Its incidence is increasing in the i...

Technology-assisted stroke rehabilitation.

Development and Validation of Machine Learning-Based Prediction for Dependence in the Activities of Daily Living after Stroke Inpatient Rehabilitation: A Decision-Tree Analysis.

BACKGROUND AND PURPOSE: Accurate prediction using simple and changeable variables is clinically mean...

Acute kidney disease and long-term outcomes in critically ill acute kidney injury patients with sepsis: a cohort analysis.

BACKGROUND: Acute kidney injury (AKI) is frequent during hospitalization and may contribute to adver...

A machine learning approach for magnetic resonance image-based mouse brain modeling and fast computation in controlled cortical impact.

Computational modeling of the brain is crucial for the study of traumatic brain injury. An anatomica...

Utilizing imbalanced electronic health records to predict acute kidney injury by ensemble learning and time series model.

BACKGROUND: Acute Kidney Injury (AKI) is a shared complication among Intensive Care Unit (ICU), mark...

Diagnostic Performance of Artificial Intelligence for Detection of Anterior Cruciate Ligament and Meniscus Tears: A Systematic Review.

PURPOSE: To (1) determine the diagnostic efficacy of artificial intelligence (AI) methods for detect...

Using Machine Learning to Predict Rehabilitation Outcomes in Postacute Hip Fracture Patients.

OBJECTIVE: To use machine learning-based methods in designing a predictive model of rehabilitation o...

Incorporation of Urinary Neutrophil Gelatinase-Associated Lipocalin and Computed Tomography Quantification to Predict Acute Kidney Injury and In-Hospital Death in COVID-19 Patients.

BACKGROUND: The prevalence of acute kidney injury (AKI) in COVID-19 patients is high, with poor prog...

VI-Net-View-Invariant Quality of Human Movement Assessment.

We propose a view-invariant method towards the assessment of the quality of human movements which do...

Radiographic Indices Are Not Predictive of Clinical Outcomes Among 1735 Patients Indicated for Hip Arthroscopic Surgery: A Machine Learning Analysis.

BACKGROUND: The relationship between the preoperative radiographic indices for femoroacetabular impi...

Sensor Fusion in Assistive and Rehabilitation Robotics.

As the world's population gradually grows older, more and more adults are experiencing sensory-motor...

Classification of Non-Severe Traumatic Brain Injury from Resting-State EEG Signal Using LSTM Network with ECOC-SVM.

Traumatic brain injury (TBI) is one of the common injuries when the human head receives an impact du...

Neurodynamic modeling of the fruit fly Drosophila melanogaster.

This manuscript describes neuromechanical modeling of the fruit fly Drosophila melanogaster in the f...

New Machine Learning Approach for Detection of Injury Risk Factors in Young Team Sport Athletes.

The purpose of this article is to present how predictive machine learning methods can be utilized fo...

Robotic Rehabilitation in Spinal Cord Injury: A Pilot Study on End-Effectors and Neurophysiological Outcomes.

Robot-aided gait training (RAGT) has been implemented to provide patients with spinal cord injury (S...

Users with spinal cord injury experience of robotic Locomotor exoskeletons: a qualitative study of the benefits, limitations, and recommendations.

BACKGROUND: Persons with spinal cord injury (SCI) may experience both psychological and physiologica...

The Impact of Robotic Rehabilitation on the Motor System in Neurological Diseases. A Multimodal Neurophysiological Approach.

Motor disability is a key feature of many neurological diseases, influencing the social roles of aff...

Quantitative Modeling of Spasticity for Clinical Assessment, Treatment and Rehabilitation.

Spasticity, a common symptom in patients with upper motor neuron lesions, reduces the ability of a p...

Ontological approach to the knowledge systematization of a toxic process and toxic course representation framework for early drug risk management.

Various types of drug toxicity can halt the development of a drug. Because drugs are xenobiotics, th...