Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 50,971 to 50,980 of 225,062 articles

Brain Mechanisms of Pain Anticipation in Chronic Low Back Pain: Insights into Phenotypical Responses to Mind-Body Therapy.

The journal of pain
Pain perception and emotional processing share common predictive mechanisms influenced by anticipation, expectation, and uncertainty. This study identifies distinct neural phenotypes of pain anticipation in chronic low back pain(cLBP) and examines th... read more 

Thalamocortical and corticostriatal pathways in the progression from acute to chronic musculoskeletal pain: an fMRI study.

The journal of pain
Most people experience acute pain as a temporary condition, while a small subset develops chronic pain. The role of pain-related circuits driving this transition remains unclear. Using UK Biobank data and an independent dataset (OpenPain), we analyze... read more 

Integrated bioinformatics and machine learning approaches reveal that Venenum bufonis acts against acute pharyngitis by inhibiting the p38 MAPK/ERK-MKNK1-eIF4E signaling pathway.

Journal of ethnopharmacology
ETHNOPHARMACOLOGICAL RELEVANCE: Venenum bufonis (VB) has been used for centuries in Asia to treat pharyngitis. However, its active components and mechanisms require further elucidation. AIMS OF THE STUDY: This study aimed to identify the active compo... read more 

Therapeutic potential of pharmacological components of Salvia miltiorrhiza against atherosclerosis: A preclinical systematic review and meta-analysis.

Journal of ethnopharmacology
ETHNOPHARMACOLOGICAL RELEVANCE: Atherosclerosis (AS) severely threatens global health, while current therapies exhibit limitations. Recognized as a 'superior-grade' herb in the Shennong Ben Cao Jing, Salvia miltiorrhiza Bunge (Danshen) has been shown... read more 

Neuroimaging-derived brain age as a new promising biomarker in mental disorders.

Neuroscience and biobehavioral reviews
Mental disorders are frequently associated with accelerated brain aging, yet the diagnostic and classificatory utility of brain age remains uncertain. This study aimed to evaluate the diagnostic value of brain age across multiple mental disorders and... read more 

An integrative genomic framework to identify remote ischemic preconditioning-responsive genes associated with stroke risk.

Experimental neurology
BACKGROUND: Remote ischemic preconditioning (RIPC) is a promising, non-invasive strategy for reduction in ischemic injury after stroke, yet its molecular mechanisms and translatability from animal models to humans remain insufficiently defined. In pa... read more 

Street-level ambient fine particulate matter and tuberculosis: A machine learning and Bayesian spatiotemporal analysis.

Environmental pollution (Barking, Essex : 1987)
Tuberculosis (TB) remains a leading cause of death from infectious diseases globally, yet evidence linking short-term ambient fine particulate matter (PM2.5) exposure to TB incidence at fine spatial scales is limited. We investigated the street-level... read more 

The role of using ChatGPT AI in writing medical scientific articles - Two years after.

Journal of stomatology, oral and maxillofacial surgery
Two years after the first evaluation of ChatGPT (GPT-3.5) for medical scientific writing, this short communication reassesses its capabilities using the GPT-5 model. Under the same experimental protocol as in 2023, GPT-5 generated a coherent and fact... read more 

Spatiotemporal Remodeling of Bone as a Reversibly Adaptive Biological Material in Djungarian Hamsters under Regulated Photoperiod Conditions.

Acta biomaterialia
Bone loss in humans is typically progressive and difficult to reverse, posing challenges for both pharmacological therapy and the long-term performance of bone replacement materials. Photoperiod-sensitive species such as the Djungarian hamster underg... read more