Latest AI and machine learning research in pain management for healthcare professionals.
Stable phase schizophrenia is characterized by altered patterning in tryptophan catabolites (TRYCATs...
Carbon dioxide (CO) is considered one of the main greenhouse effect gases and contributes significan...
OBJECTIVES: Open cardiac surgery may cause severe postoperative pain. The authors hypothesized that ...
BACKGROUND: Measuring and predicting pain volatility (fluctuation or variability in pain scores over...
The ability of deep learning architectures to identify glaucomatous optic neuropathy (GON) in fundus...
Opioids are widely used for treating different types of pains, but overuse and abuse of prescription...
Deep brain stimulation (DBS) of the subthalamic nucleus (STN) has shown clinical potential for relie...
STUDY OBJECTIVE: The objective of this pilot study is to assess the feasibility and necessity of per...
BACKGROUND: Chronic pain is a globally prevalent condition. It is closely linked with psychological ...
Social media may provide new insight into our understanding of substance use and addiction. In this ...
BACKGROUND: Recently, deep learning technologies have rapidly expanded into medical image analysis, ...
Relation extraction between medical concepts from electronic medical records has pervasive applicati...
This study compared persons with chronic pain who consistently reported that their pain was worsenin...
Over a three-month period in early 2017, the Hennepin County Medical Examiner's Office investigated ...
INTRODUCTION: Local anaesthetic (LA) with highly selective alpha-2 agonist dexmedetomidine has not b...
Small intestinal bacterial overgrowth (SIBO) is defined by increased density and/or abnormal composi...
Astrocytes are involved in various brain pathologies including trauma, stroke, neurodegenerative dis...
OBJECTIVE: To report the spectrum of ethambutol induced optic neuropathy in a group of renal patient...
BACKGROUND: Chronic kidney disease (CKD) patients experience a high symptom burden including fatigue...
Machine learning based predictions of protein⁻protein interactions (PPIs) could provide valuable ins...
Purpose To determine the feasibility of using a deep learning approach to detect cartilage lesions (...