Latest AI and machine learning research in sports medicine for healthcare professionals.
Ventilator-associated pneumonia significantly increases morbidity, mortality, and healthcare costs a...
Rehabilitation after a stroke is vital for regaining functional abilities. However, a shortage of re...
PURPOSE: This review explores the role and impact of digital technology in cardiac rehabilitation (C...
Chromium (Cr⁶⁺) waste poses a hazard as it leads to imbalanced ecosystems and severe health issues. ...
AIM: Orthopedic surgery patients frequently delay early rehabilitation due to postoperative discomfo...
Brain-Computer Interfaces (BCI) and Neurofeedback (NFB) approaches, which both rely on real-time mon...
Acute pancreatitis (AP) presents a significant clinical challenge due to its wide range of severity,...
This study aimed to develop a machine learning (ML) model for predicting the risk of acute kidney in...
Mild traumatic brain injury can result from shear shock wave formation in the brain in the event of ...
BACKGROUND: The assessment and enhancement of lower limb motor function in hemiplegic patients is of...
OBJECTIVE: This study reviewed the current state of machine learning (ML) research for the predictio...
OBJECTIVE: This study investigates the neurophysiological outcomes of combining robot-assisted gait ...
BACKGROUND: Pressure injury is prevalent in clinical settings and demands precise staging for optima...
With the continuous advancement of computer technology and sensor technology, rehabilitation robots ...
BACKGROUND: Robotic rehabilitation, which provides a high-intensity, high-frequency therapy to impro...
Concerns regarding chronic injuries (e.g., fibrosis and carcinogenesis) induced by nanoparticles rai...
In this observational study, we used data from 59,936 hospitalized adults to construct a model. For ...
BACKGROUND: Most artificial intelligence-based research on acute kidney injury (AKI) prediction has ...
BACKGROUND: Recent advancements in rehabilitation sciences have progressively used computational tec...
OBJECTIVE: Asherman's syndrome (AS) is a significant cause of subfertility in women from developing ...
The aim of this study was to clinically validate an artificial intelligence (AI)-based tool for auto...