Sports Medicine

Harmine protects mercuric chloride kidney-induced injury by antioxidant activity in male mice: a biochemical and histological study.

BACKGROUND AND PURPOSE: Mercuric chloride (Merc) can cause kidney toxicity. Harmine (Harm), an herba...

Peritoneal dialysis: An effective therapeutic modality in acute kidney injury.

BACKGROUND: Peritoneal dialysis (PD) as a modality of renal replacement therapy (RRT) in acute kidne...

Intractable airsickness associated with COVID-19: A case report.

A 29-yr-old male Melicopter co-pilot with high flight hours in air transport missions of the patient...

Do clinical and paraclinical findings have the power to predict critical conditions of injured patients after traumatic injury resuscitation? Using data mining artificial intelligence.

PURPOSE: The triage and initial care of injured patients and a subsequent right level of care is par...

Deep Learning for US Image Quality Assessment Based on Femoral Cartilage Boundary Detection in Autonomous Knee Arthroscopy.

Knee arthroscopy is a complex minimally invasive surgery that can cause unintended injuries to femor...

Prediction of response to cardiac resynchronization therapy using a multi-feature learning method.

We hypothesized that a multiparametric evaluation, based on the combination of electrocardiographic ...

Sodium butyrate protects against lipopolysaccharide-induced liver injury partially via the GPR43/ β-arrestin-2/NF-κB network.

BACKGROUND: Butyrate acts as a regulator in multiple inflammatory organ injuries. However, the role ...

Brain-Computer Interface-Based Soft Robotic Glove Rehabilitation for Stroke.

OBJECTIVE: This randomized controlled feasibility study investigates the ability for clinical applic...

Artificial Intelligence Aids Cardiac Image Quality Assessment for Improving Precision in Strain Measurements.

OBJECTIVES: The aim of this study was to develop an artificial intelligence tool to assess echocardi...

Enforcing Quality in Strain Imaging Through AI-Powered Surveillance.

Machine learning to predict mortality after rehabilitation among patients with severe stroke.

Stroke is among the leading causes of death and disability worldwide. Approximately 20-25% of stroke...

Robot-assisted S2 screw fixation for posterior pelvic ring injury.

BACKGROUND: Percutaneous sacroiliac screw is one of the main methods to treat unstable posterior pel...

Robot Assisted Ankle Neuro-Rehabilitation: State of the art and Future Challenges.

: Robot-assisted neuro-rehabilitation is gaining acceptability among the physical therapy community....

An sEMG-Controlled 3D Game for Rehabilitation Therapies: Real-Time Time Hand Gesture Recognition Using Deep Learning Techniques.

In recent years the advances in Artificial Intelligence (AI) have been seen to play an important rol...

Ultra-sensitive and resilient compliant strain gauges for soft machines.

Soft machines are a promising design paradigm for human-centric devices and systems required to inte...

Cross-site transportability of an explainable artificial intelligence model for acute kidney injury prediction.

Artificial intelligence (AI) has demonstrated promise in predicting acute kidney injury (AKI), howev...

Clinician Perceptions of Robotic Exoskeletons for Locomotor Training After Spinal Cord Injury: A Qualitative Approach.

OBJECTIVE: To describe the experiences of clinicians who have used robotic exoskeletons in their pra...

Motion Inference Using Sparse Inertial Sensors, Self-Supervised Learning, and a New Dataset of Unscripted Human Motion.

In recent years, wearable sensors have become common, with possible applications in biomechanical mo...

Identifying Optimal Strain in Bismuth Telluride Thermoelectric Film by Combinatorial Gradient Thermal Annealing and Machine Learning.

The thermoelectric properties of bismuth telluride thin film (BTTF) was tuned by inducing internal s...

Estimation of Three-Dimensional Lower Limb Kinetics Data during Walking Using Machine Learning from a Single IMU Attached to the Sacrum.

Kinetics data such as ground reaction forces (GRFs) are commonly used as indicators for rehabilitati...

An Efficient Deep Learning Based Method for Speech Assessment of Mandarin-Speaking Aphasic Patients.

Speech assessment is an important part of the rehabilitation process for patients with aphasia (PWA)...