Orthopedics

Sports Medicine

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

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Orthopedics Subcategories: Sports Medicine
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Auto-segmentation of the tibia and femur from knee MR images via deep learning and its application to cartilage strain and recovery.

The ability to efficiently and reproducibly generate subject-specific 3D models of bone and soft tis...

Research of intent recognition in rehabilitation robots: a systematic review.

PURPOSE: Rehabilitation robots with intent recognition are helping people with dysfunction to enjoy ...

Effect of robot-assisted gait training on quality of life and depression in neurological impairment: A systematic review and meta-analysis.

OBJECTIVE: Robot-assisted gait training (RAGT) is often used as a rehabilitation tool for neurologic...

Cost-effectiveness analysis of overground robotic training versus conventional locomotor training in people with spinal cord injury.

BACKGROUND: Few, if any estimates of cost-effectiveness for locomotor training strategies following ...

Artificial intelligence in medicine - is too much transparency a good thing?

Some encouraging uses for AI in medicine will lead to potentially novel legal liability issues. Comp...

Model of the Performance Based on Artificial Intelligence-Fuzzy Logic Description of Physical Activity.

The aim of the study was to build a fuzzy model of lower limb peak torque in an isokinetic mode. The...

The identification of interacting brain networks during robot-assisted training with multimodal stimulation.

Robot-assisted rehabilitation training is an effective way to assist rehabilitation therapy. So far,...

Elastomer-Embedded Multiplexed Optical Fiber Sensor System for Multiplane Shape Reconstruction.

This paper presents the development and application of a multiplexed intensity variation-based senso...

Study on the Applicability of Digital Twins for Home Remote Motor Rehabilitation.

The COVID-19 pandemic created the need for telerehabilitation development, while Industry 4.0 brough...

An end-end deep learning framework for lesion segmentation on multi-contrast MR images-an exploratory study in a rat model of traumatic brain injury.

Traumatic brain injury (TBI) engenders traumatic necrosis and penumbra-areas of secondary neural inj...

Developing a Novel Methodology by Integrating Deep Learning and HMM for Segmentation of Retinal Blood Vessels in Fundus Images.

Accurate segregation of retinal blood vessels network plays a crucial role in clinical assessments, ...

A Systematic Analysis of 3D Deformation of Aging Breasts Based on Artificial Neural Networks.

The measurement and prediction of breast skin deformation are key research directions in health-rela...

Cooperative Hand Therapy via a Soft, Wearable, and Unilateral Telerobotic System.

Functional rehabilitation of the hand is a complex and difficult process involving a large number of...

Hybrid Target Selections by "Hand Gestures + Facial Expression" for a Rehabilitation Robot.

In this study we propose a "hand gesture + face expression" human machine interaction technique, and...

A strategy to formulate data-driven constitutive models from random multiaxial experiments.

We present a test technique and an accompanying computational framework to obtain data-driven, surro...

Conceptual Structure and Current Trends in Artificial Intelligence, Machine Learning, and Deep Learning Research in Sports: A Bibliometric Review.

Artificial intelligence and its subcategories of machine learning and deep learning are gaining incr...

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