Orthopedics

Sports Medicine

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

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Orthopedics Subcategories: Sports Medicine
Showing 1555-1575 of 7,018 articles
Inpatient stroke rehabilitation: prediction of clinical outcomes using a machine-learning approach.

BACKGROUND: In clinical practice, therapists often rely on clinical outcome measures to quantify a p...

Comparing Machine Learning Algorithms for Predicting Drug-Induced Liver Injury (DILI).

Drug-induced liver injury (DILI) is one the most unpredictable adverse reactions to xenobiotics in h...

Strain Curve Classification Using Supervised Machine Learning Algorithm with Physiologic Constraints.

Speckle tracking echocardiography (STE) enables quantification of myocardial deformation by a genera...

Polymer Optical Fiber-Based Integrated Instrumentation in a Robot-Assisted Rehabilitation Smart Environment: A Proof of Concept.

Advances in robotic systems for rehabilitation purposes have led to the development of specialized r...

Machine-learning based MRI radiomics models for early detection of radiation-induced brain injury in nasopharyngeal carcinoma.

BACKGROUND: Early radiation-induced temporal lobe injury (RTLI) diagnosis in nasopharyngeal carcinom...

Effectiveness of robot-assisted gait training on patients with burns: a preliminary study.

Gait enables individuals to move forward and is considered a natural skill. However, gait disturbanc...

Adaptive robot mediated upper limb training using electromyogram-based muscle fatigue indicators.

Studies on improving the adaptability of upper limb rehabilitation training do not often consider th...

Prediction of in-hospital mortality in patients with post traumatic brain injury using National Trauma Registry and Machine Learning Approach.

BACKGROUND: The use of machine learning techniques to predict diseases outcomes has grown significan...

Development of a Novel Task-oriented Rehabilitation Program using a Bimanual Exoskeleton Robotic Hand.

A robot-assisted hand is used for the rehabilitation of patients with impaired upper limb function, ...

Machine-Learning Prediction of Oral Drug-Induced Liver Injury (DILI) via Multiple Features and Endpoints.

Drug discovery is a costly process which usually takes more than 10 years and billions of dollars fo...

Using machine learning to improve our understanding of injury risk and prediction in elite male youth football players.

OBJECTIVES: The purpose of this study was to examine whether the use of machine learning improved th...

A pilot study on the design and validation of a hybrid exoskeleton robotic device for hand rehabilitation.

STUDY DESIGN: An iterative design process was used to obtain design parameters that satisfy both kin...

Motor improvement estimation and task adaptation for personalized robot-aided therapy: a feasibility study.

BACKGROUND: In the past years, robotic systems have become increasingly popular in upper limb rehabi...

Rehabilitation of older people with Parkinson's disease: an innovative protocol for RCT study to evaluate the potential of robotic-based technologies.

BACKGROUND: Parkinson's disease is one of the most frequent causes of disability among the older adu...

Olle Höök Lectureship 2019: The changing world of stroke rehabilitation.

The paper presents a summary of the Olle Höök lecture, which was presented at the Baltic North-Sea F...

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