Latest AI and machine learning research in pain management for healthcare professionals.
Vitamin B12 is essential for neural function, red blood cell formation, and DNA synthesis, yet its d...
The development of inexpensive, portable, and rapid opioid screening techniques is urgently needed b...
INTRODUCTION: The integration of artificial intelligence (AI) into addiction research has expanded r...
Dense prediction is a fundamental problem in medical image analysis. As Convolutional Neural Network...
BACKGROUND: Estimation of lumbar spinal loads is important for understanding low back pain, guiding ...
Sleep disorders are prevalent and constitute a major concern in patients with diabetes mellitus. The...
The measurement performance of the Short-Form Brief Pain Inventory (BPI-SF) across IASP-recognized p...
OBJECTIVES: To compare the acquisition time, image quality, and diagnostic confidence of DL-accelera...
Accurate detection of semantically similar texts underpins applications such as plagiarism detection...
BACKGROUND AND OBJECTIVES: In the absence of biomarkers, the true biological footprint of migraine r...
INTRODUCTION: Pulsed radiofrequency (PRF) is a pivotal neuromodulation strategy for zoster-associate...
Accurate prediction of protein-ligand binding affinity (PLA) is essential for efficient drug screeni...
BACKGROUND: Previous research on brain network topology in Tobacco Use Disorder (TUD) has been incon...
PURPOSE: Machine learning (ML) may support decision-making for acute abdominal pain (AAP), but limit...
With the rapid integration of generative artificial intelligence into programming education, concern...
Treatment resistant schizophrenia (TRS) is a major challenge in psychiatry, and its management remai...
PURPOSE: Accurate risk adjustment in total knee arthroplasty (TKA) is essential for outcome predicti...
RNA 2'-O-methylation (2OMe) is a widespread post-transcriptional modification that influences RNA st...
BACKGROUND: The 2016 Comprehensive Addiction and Recovery Act amended the Child Abuse Prevention and...