Orthopedics

Sports Medicine

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

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Development and Application of Medicine-Engineering Integration in the Rehabilitation of Traumatic Brain Injury.

The rapid progress of the combination of medicine and engineering provides better chances for the cl...

Phenotyping the Spectrum of Traumatic Brain Injury: A Review and Pathway to Standardization.

It is widely appreciated that the spectrum of traumatic brain injury (TBI), mild through severe, con...

2D-Material-integrated hydrogels as multifunctional protective skins for soft robots.

Soft robots provide compliant object-machine interactions, but they exhibit insufficient material st...

Injury severity prediction of traffic crashes with ensemble machine learning techniques: a comparative study.

A better understanding of injury severity risk factors is fundamental to improving crash prediction ...

Customizing Robot-Assisted Passive Neurorehabilitation Exercise Based on Teaching Training Mechanism.

Passive movement is an important mean of rehabilitation for stroke survivors in the early stage or w...

Epileptic Seizures Detection Using Deep Learning Techniques: A Review.

A variety of screening approaches have been proposed to diagnose epileptic seizures, using electroen...

The adjunct of transcranial direct current stimulation to Robot-assisted therapy in upper limb post-stroke treatment.

Transcranial direct current stimulation (TDCS) and robot-assisted therapy (RAT) proved to be promisi...

Ischemic stroke-induced polyaxonal innervation at the neuromuscular junction is attenuated by robot-assisted mechanical therapy.

Ischemic stroke is a leading cause of disability world-wide. Mounting evidence supports neuromuscula...

Transferable Ring Corrections for Predicting Enthalpy of Formation of Cyclic Compounds.

Computational predictions of the thermodynamic properties of molecules and materials play a central ...

Semi-Remote Gait Assistance Interface: A Joystick with Visual Feedback Capabilities for Therapists.

The constant growth of pathologies affecting human mobility has led to developing of different assis...

Moving Forward in the Next Decade: Radiation Oncology Sciences for Patient-Centered Cancer Care.

In a time of rapid advances in science and technology, the opportunities for radiation oncology are ...

Effectiveness of robotic-assisted therapy for upper extremity function in children and adolescents with cerebral palsy: a systematic review protocol.

INTRODUCTION: The application of advanced technologies in paediatric rehabilitation to improve perfo...

Comparison of machine learning and logistic regression models in predicting acute kidney injury: A systematic review and meta-analysis.

INTRODUCTION: We aimed to assess whether machine learning models are superior at predicting acute ki...

Robotic-assisted gait rehabilitation following stroke: a systematic review of current guidelines and practical clinical recommendations.

INTRODUCTION: Stroke is the third leading cause of adult disability worldwide, and lower extremity m...

Myocardial Function Imaging in Echocardiography Using Deep Learning.

Deformation imaging in echocardiography has been shown to have better diagnostic and prognostic valu...

A System for Neuromotor Based Rehabilitation on a Passive Robotic Aid.

In the aging world population, the occurrence of neuromotor deficits arising from stroke and other m...

Injury Prediction in Competitive Runners With Machine Learning.

PURPOSE: Staying injury free is a major factor for success in sports. Although injuries are difficul...

Three-Dimensional Unified Motion Control of a Robotic Standing Wheelchair for Rehabilitation Purposes.

Technological advances in recent years have shown interest in the development of robots in the medic...

A deep-learning model to continuously predict severe acute kidney injury based on urine output changes in critically ill patients.

BACKGROUND: Acute Kidney Injury (AKI), a frequent complication of pateints in the Intensive Care Uni...

A Model-Based Analysis of Supraspinal Mechanisms of Inter-Leg Coordination in Human Gait: Toward Model-Informed Robot-Assisted Rehabilitation.

Stroke survivors are often left suffering from gait instability due to hemiparesis. This gait dysfun...

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