Latest AI and machine learning research in pain management for healthcare professionals.
INTRODUCTION: Headaches are the main reason for visits to Neurology clinics, and migraine is the mos...
BACKGROUND: Nonsteroidal anti-inflammatory drug (NSAID) hypersensitivity is a common cause of drug-r...
High-impact chronic pain (HICP) affects over 17 million U.S. adults and follows highly variable cour...
Protracted droughts, defined as successive dry events occurring before full vegetation recovery, pos...
OBJECTIVE: Clinical practice guidelines (CPGs) provide evidence-based recommendations for patient ca...
BACKGROUND: Accurate prediction of the neurotoxicity of peptides and proteins is critically importan...
The treatment paradigm for lymphoma, a highly heterogeneous group of hematologic malignancies, has b...
The Neural Craving Signature (NCS), a machine learning derived neuroimaging biomarker, differentiate...
Predictive tools are lacking for pain-related outcomes after endometriosis surgery. The objective of...
Medicine finds itself on the brink of an artificial intelligence (AI) revolution, promising to trans...
The autonomous nervous system (ANS) response in neurological disorders is a direct modifiable risk f...
BACKGROUND: Real-world evaluation of large language models (LLMs) as clinical diagnostic aids is lim...
Spatially distributed prediction of streamflow and nitrogen export dynamics is essential for precisi...
The precision and effectiveness of nano-diagnostic platforms rely on the deliberate design of advanc...
BACKGROUND: The global prevalence of type 2 diabetes mellitus (T2DM) poses significant challenges du...
BACKGROUND: Achieving maximal safe resection in glioma surgery requires accurate real-time margin as...
INTRODUCTION: Multiple screen addiction is a growing public health problem, especially among young p...
AIMS/HYPOTHESIS: Data-driven subtyping of type 2 diabetes has not been translated into clinical prac...
BACKGROUND: Subacute low back pain (LBP) is a highly prevalent condition and a major contributor to ...
Drawing on the Interaction of Person-Affect-Cognition-Execution (I-PACE) model, this study addresses...
OBJECTIVE: To investigate the ability of artificial intelligence-enabled electrocardiogram (AI-ECG) ...