Latest AI and machine learning research in pain management for healthcare professionals.
A major obstacle to treating Alzheimer's disease (AD) is our lack of understanding of the molecular ...
Nonspecific low back pain (NSLBP) constitutes a critical health challenge that impacts millions of p...
PURPOSE: To evaluate the additional value of noninvasive artificial intelligence (AI)-based CT-deriv...
Human-human social touch improves mood and alleviates pain. No studies have so far tested the effect...
To assess chemical degradation of various liquid chemotherapy and opioid drugs in the novel RxDestr...
Irritable bowel syndrome (IBS) is a disorder involving dysfunctional brain-gut interactions characte...
Type 1 diabetes (T1D) is characterized by pancreatic beta cell dysfunction and insulin depletion. Ov...
The efficiency of disease prevention and medical care service necessitated the prediction of inciden...
PURPOSE: Artificial intelligence algorithms can now identify hidden data patterns within the scienti...
Pressure injuries represent a major concern in many nations. These wounds result from prolonged pres...
The intent of this article is to evaluate a novel approach, using rapid cycle analytics and real wo...
After chronic low back pain, Temporomandibular Joint (TMJ) disorders are the second most common musc...
BACKGROUND: Sickle cell disease (SCD) is a genetic disorder of the red blood cells, resulting in mul...
This dataset is composed of annotations of the five hemorrhage subtypes (subarachnoid, intraventricu...
BACKGROUND: Automated de-identification methods for removing protected health information (PHI) from...
Semi-quantitative scoring schemes like the Consortium to Establish a Registry for Alzheimer's Diseas...
People with tetraplegia resulting from spinal cord injury experience debilitating hand impairments t...
OBJECTIVES: Socially-assistive robots (SAR) have been used to reduce pain and distress in children i...
Chronic pain is highly prevalent and poorly controlled, of which the accurate underlying mechanisms ...
PURPOSE: We sought to assess the performance of deep learning approaches for differentiating nonglau...
BACKGROUND: This study aimed to determine conditional dependence relationships of variables that con...