Orthopedics

Sports Medicine

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

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Orthopedics Subcategories: Sports Medicine
Showing 883-903 of 6,982 articles
Hybrid artificial muscle: enhanced actuation and load-bearing performance an origami metamaterial endoskeleton.

Owing to their compliance, soft robots demonstrate enhanced compatibility with humans and the enviro...

A Scoping Review on the Use of Machine Learning in Return-to-Work Studies: Strengths and Weaknesses.

PURPOSE: Decisions to increase work participation must be informed and timely to improve return to w...

Node-Loss Detection Methods for CZ Silicon Single Crystal Based on Multimodal Data Fusion.

Monocrystalline silicon is an important raw material in the semiconductor and photovoltaic industrie...

A comparison of performance between a deep learning model with residents for localization and classification of intracranial hemorrhage.

Intracranial hemorrhage (ICH) from traumatic brain injury (TBI) requires prompt radiological investi...

Collision avoidance analysis of human-robot physical interaction based on null-space impedance control of a dynamic reference arm plane.

When the terminal upper limb rehabilitation robot is used for motion-assisted training, collisions b...

Innovative protocol of an exploratory study evaluating the acceptability of a humanoid robot at home of deaf children with cochlear implants.

The purpose of this paper is to introduce a research methodology for the assessment of the acceptabi...

[Digitalization in rehabilitation].

BACKGROUND: The term digitalization is in trend. In addition to modernizing existing structures and ...

Design computed torque control for Stewart platform with uncertainty to the rehabilitation of patients with leg disabilities.

Physiotherapy is a treatment that may be required permanently by many patients. As a result, a robot...

The effect of home-based cardiac rehabilitation on arterial stiffness and peak oxygen consumption in patients with myocardial infarction.

OBJECTIVES: This study aims to investigate the effectiveness of home-based cardiac rehabilitation (C...

Risk predictions of hospital-acquired pressure injury in the intensive care unit based on a machine learning algorithm.

Pressure injury (PI), or local damage to soft tissues and skin caused by prolonged pressure, remains...

A deep learning-based dynamic model for predicting acute kidney injury risk severity in postoperative patients.

BACKGROUND: Acute kidney injury is a common postoperative complication affecting between 10% and 30%...

Study of the Feasibility of Decoupling Temperature and Strain from a -PA-OFDR over an SMF Using Neural Networks.

Despite several existing techniques for distributed sensing (temperature and strain) using standard ...

Self-Adhesive, Anti-Freezing MXene-Based Hydrogel Strain Sensor for Motion Monitoring and Handwriting Recognition with Deep Learning.

Flexible strain sensors based on self-adhesive, high-tensile, super-sensitive conductive hydrogels h...

Benchmarking physics-informed frameworks for data-driven hyperelasticity.

Data-driven methods have changed the way we understand and model materials. However, while providing...

A Self-Coordinating Controller with Balance-Guiding Ability for Lower-Limb Rehabilitation Exoskeleton Robot.

The restricted posture and unrestricted compliance brought by the controller during human-exoskeleto...

Characteristics and Emerging Trends in Research on Rehabilitation Robots from 2001 to 2020: Bibliometric Study.

BACKGROUND: The past 2 decades have seen rapid development in the use of robots for rehabilitation. ...

Clinical Relevance and Function of Anterior Talofibular Ligament Superior and Inferior Fascicles: A Robotic Study.

BACKGROUND: Ankle lateral ligament sprains are common injuries in sports, and some may result in per...

Will Your Next Therapist Be a Robot?-A Review of the Advancements in Robotic Upper Extremity Rehabilitation.

Several recent studies have indicated that upper extremity injuries are classified as a top common w...

Tendon Stress Estimation from Strain Data of a Bridge Girder Using Machine Learning-Based Surrogate Model.

Prestressed girders reduce cracking and allow for long spans, but their construction requires comple...

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