Latest AI and machine learning research in pain management for healthcare professionals.
The improper application of nonsteroidal anti-inflammatory drugs (NSAIDs) presents significant health hazards via vector food contamination. A critical limitation of these traditional existing approaches is their inability to concurrently discern and distinguish among diverse NSAIDs, presenting a notable gap in the analytical capabilities within this domain. Herein, a creative dual-channel fluores...
BACKGROUND: Isthmic spondylolisthesis is a prevalent condition often diagnosed in adults, especially those with low back pain. The main objective of this study was to evaluate the clinical viability of ChatGPT 3.5 and 4.0 by assessing its capacity to produce recommendations consistent with NASS's Evidence-based Clinical Guidelines for adult isthmic spondylolisthesis.
Exposure to three primary xenoestrogens (XEs), including phthalates, parabens, and phenols, has been strongly associated with chronic kidney disease (...
PURPOSE: To develop CT-based machine learning radiomics models used for the diagnosis of dysthyroid optic neuropathy (DON).
This study investigated factors influencing back muscle strength, focusing on sex, forearm posture and lifting height. Lower back pain, prevalent in i...
Chronic wounds, which take over four weeks to heal, are a major global health issue linked to conditions such as diabetes, venous insufficiency, arter...
Previous research has demonstrated that machine learning (ML) could not effectively decode passive observation of neutral versus pain photographs by u...
BACKGROUND: Spinal pain, one of the most common musculoskeletal disorders (MSDs), significantly impacts the quality of life due to chronic pain and di...
AIMS: Diabetic peripheral neuropathy (DPN) is the most common complication of diabetes mellitus. Early identification of individuals at high risk of D...
This study introduces a multimodal sentiment analysis system to assess and recognize human pain sentiments within an Internet of Things (IoT)-enabled ...
With the ongoing evolution of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and its increasing adaptation to humans, several variants o...
Monitoring nociception under general anesthesia remains challenging due to the complexity of pain pathways and the limitations of single-parameter met...
BACKGROUND: Migraine is a complex neurological disorder with significant clinical variability, posing challenges for effective management. Multiple tr...
Recent advances in the design of convolutional neural networks have shown that performance can be enhanced by improving the ability to represent multi...
Infrared absorption spectroscopy and surface-enhanced Raman spectroscopy were integrated into three data fusion strategies-hybrid (concatenated spectr...
Sleep is a fundamental human activity, and automated sleep staging holds considerable investigational potential. Despite numerous deep learning method...
Human Activity Recognition (HAR) is essential for monitoring and analyzing human behavior, particularly in health applications such as fall detection ...
Accurate detection and prevalence estimation of behavioral health conditions, such as opioid use disorder (OUD), are crucial for identifying at-risk i...
BACKGROUND: Low back pain is the leading cause of disability worldwide with a significant socioeconomic burden; artificial intelligence (AI) has prove...
BACKGROUND: Mild cognitive impairment (MCI) and preclinical MCI (e.g., subjective cognitive decline, SCD) are considered risk states of dementia, such...