Orthopedics

Sports Medicine

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

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Harvest and Application of Bone Marrow Aspirate Concentrate to Address Acetabular Chondral Damage During Hip Arthroscopy.

BACKGROUND: During hip arthroscopy, managing concomitant cartilage damage and chondrolabral junction...

A deep learning method for continuous noninvasive blood pressure monitoring using photoplethysmography.

. The aim of this study is to investigate continuous blood pressure waveform estimation from a pleth...

Voluntary Assist-as-Needed Controller for an Ankle Power-Assist Rehabilitation Robot.

OBJECTIVE: Although existing assist-as-needed (AAN) controllers have been designed to adapt the robo...

Spatiotemporal Compliance Control for a Wearable Lower Limb Rehabilitation Robot.

Compliance control is crucial for physical human-robot interaction, which can enhance the safety and...

Identifying acute kidney injury subphenotypes using an outcome-driven deep-learning approach.

OBJECTIVE: Acute kidney injury (AKI), a common condition on the intensive-care unit (ICU), is charac...

Prototype development of bilateral arm mirror-like-robotic rehabilitation device for acute stroke patients.

During the early six months after the onset of a stroke, patients usually remain disabled with limbs...

Neural co-processors for restoring brain function: results from a cortical model of grasping.

A major challenge in designing closed-loop brain-computer interfaces is finding optimal stimulation ...

Computer Vision Based on a Modular Neural Network for Automatic Assessment of Physical Therapy Rehabilitation Activities.

Physical rehabilitation techniques during the treatment of clinical pathology are one of the most ch...

Exercise with a wearable hip-assist robot improved physical function and walking efficiency in older adults.

Wearable assistive robotics has emerged as a promising technology to supplement or replace motor fun...

A systematic review of the applications of markerless motion capture (MMC) technology for clinical measurement in rehabilitation.

BACKGROUND: Markerless motion capture (MMC) technology has been developed to avoid the need for body...

An Empirical Comparison of Explainable Artificial Intelligence Methods for Clinical Data: A Case Study on Traumatic Brain Injury.

A longstanding challenge surrounding deep learning algorithms is unpacking and understanding how the...

Gait training with a wearable powered robot during stroke rehabilitation: a randomized parallel-group trial.

BACKGROUND: We have developed a wearable rehabilitation robot, "curara®," and examined its immediate...

Nitric oxide releasing polyvinyl alcohol and sodium alginate hydrogels as antibacterial and conductive strain sensors.

Conductive hydrogels have promising applications in flexible electronic devices and artificial intel...

Deep learning for optimization of protein expression.

Advances in high-throughput DNA synthesis and sequencing have fuelled the use of massively parallel ...

Enhancement of alkaline protease production in recombinant Bacillus licheniformis by response surface methodology.

Alkaline protease is widely used in the food, detergent, and pharmaceutical industries because of it...

Ultra-stretchable and biodegradable elastomers for soft, transient electronics.

As rubber-like elastomers have led to scientific breakthroughs in soft, stretchable characteristics-...

The Use of Machine Learning for Inferencing the Effectiveness of a Rehabilitation Program for Orthopedic and Neurological Patients.

Advance assessment of the potential functional improvement of patients undergoing a rehabilitation p...

High-throughput image analysis with deep learning captures heterogeneity and spatial relationships after kidney injury.

Recovery from acute kidney injury can vary widely in patients and in animal models. Immunofluorescen...

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