Orthopedics

Sports Medicine

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

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Orthopedics Subcategories: Sports Medicine
Showing 841-861 of 6,982 articles
Quantifying acute kidney injury in an Ischaemia-Reperfusion Injury mouse model using deep-learning-based semantic segmentation in histology.

This study focuses on ischaemia-reperfusion injury (IRI) in kidneys, a cause of acute kidney injury ...

β-D-Glucan promotes NF-κB activation and ameliorates high-LET carbon-ion irradiation-induced human umbilical vein endothelial cell injury.

BACKGROUND/AIM: Heavy-ion irradiation seriously perturbs cellular homeostasis and thus damages cells...

A deep learning system to monitor and assess rehabilitation exercises in home-based remote and unsupervised conditions.

In the domain of physical rehabilitation, the progress in machine learning and the availability of c...

Research on an ankle rehabilitation robot for hemiplegic patients after stroke.

This paper proposes an ankle rehabilitation robot to assist hemiplegic patients with movement traini...

A robot-assisted laparoscopic revision of an artificial urinary sphincter in a patient with spinal cord injury.

This step-by-step article demonstrates our approach to robot-assisted laparoscopic revision of a bla...

Ultrastretchable and highly conductive hydrogels based on Fe- lignin nanoparticles for subzero wearable strain sensor.

Conductive hydrogels have attracted considerable interest for potential applications in soft robotic...

A Robot-Assisted Framework for Rehabilitation Practices: Implementation and Experimental Results.

One of the most interesting characteristics of collaborative robots is their ability to be used in c...

Crash injury severity prediction considering data imbalance: A Wasserstein generative adversarial network with gradient penalty approach.

For each road crash event, it is necessary to predict its injury severity. However, predicting crash...

Efficient Generation of Pretraining Samples for Developing a Deep Learning Brain Injury Model via Transfer Learning.

The large amount of training samples required to develop a deep learning brain injury model demands ...

Artificial intelligence in foot and ankle surgery: current concepts.

The twenty-first century has proven that data are the new gold. Artificial intelligence (AI) driven ...

Applicability of machine learning technique in the screening of patients with mild traumatic brain injury.

Even though the demand of head computed tomography (CT) in patients with mild traumatic brain injury...

Robotic locomotor training in a low-resource setting: a randomized pilot and feasibility trial.

PURPOSE: Activity-based Training (ABT) represents the current standard of neurological rehabilitatio...

Tailoring Upper-Limb Robot-Aided Orthopedic Rehabilitation on Patients' Psychophysiological State.

Physical therapy keeps exploiting more and more the capabilities of the robot of adapting the treatm...

Systematic review of artificial intelligence development and evaluation for MRI diagnosis of knee ligament or meniscus tears.

OBJECTIVE: The purpose of this systematic review was to summarize the results of original research s...

Prediction of Retear After Arthroscopic Rotator Cuff Repair Based on Intraoperative Arthroscopic Images Using Deep Learning.

BACKGROUND: It is challenging to predict retear after arthroscopic rotator cuff repair (ARCR). The u...

Monitoring blood pressure and cardiac function without positioning via a deep learning-assisted strain sensor array.

Continuous and reliable monitoring of blood pressure and cardiac function is of great importance for...

Development, External Validation, and Visualization of Machine Learning Models for Predicting Occurrence of Acute Kidney Injury after Cardiac Surgery.

BACKGROUND: Cardiac surgery-associated acute kidney injury (CSA-AKI) is a major complication that re...

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