Latest AI and machine learning research in sports medicine for healthcare professionals.
In rehabilitation robotics, optimizing energy consumption and high interaction forces is essential t...
Left atrial reservoir strain (LASr) offers diagnostic and prognostic value in patients with heart fa...
To optimize thulium fiber laser (TFL) settings for effective stone fragmentation although minimizin...
Datura metel, a common plant in the Solanaceae family, is known for its valuable medicinal propertie...
sEMG signals hold significant potential for motion prediction, with promising applications in areas ...
Orthopedics is undergoing a transformative shift driven by personalized medical technologies that en...
BACKGROUND: Effective rehabilitation of the upper extremity function is vital for individuals recove...
Despite advancements in medical care, acute kidney injury (AKI) remains a major contributor to adver...
Seated rehabilitation is essential in early-stage recovery for patients who can sit but cannot stand...
In recent years, robotics has made notable progress, becoming an essential component of daily life b...
BACKGROUND: Lower limb exoskeleton rehabilitation robot is a new technology to improve the lower lim...
Joint health is critical for musculoskeletal (MSK) conditions that are affecting approximately one-t...
OBJECTIVES: The purpose of this study was to compare the reliability and accuracy of responses provi...
The present paper aims primarily to analyze the driving skills of patients with different pathologie...
BACKGROUND: There have been significant advances in machine learning and artificial intelligence tec...
The functional analysis of the left atrium (LA) is important for evaluating cardiac health and under...
BACKGROUND: There is a growing interest in exploring industrial-grade collaborative robots (cobots) ...
In the context of the rising global prevalence of obesity, traditional intervention measures have pr...
PURPOSE: The aim of this sub-analysis of the RESUS-AMI trial was to evaluate the correlation of arti...
Deep learning has significantly advanced in predicting stress-strain curves. However, due to the com...
AIM: We aimed to compare the diagnostic performance of physicians in the detection of arthroscopical...