Artificial Intelligence Medical Compendium

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

Showing 24,881 to 24,890 of 217,472 articles

Quantitative whole-body measurement of inflammothrombotic immunologic response disease using Fleming method for tissue and vascular differentiation and metabolism.

Nuclear medicine communications
BACKGROUND: Precision theranostics in nuclear medicine requires reproducible, calibrated quantification of tissue perfusion, and metabolism. This study evaluates whether the Fleming method for tissue and vascular differentiation and metabolism (FMTVD... read more 

Innovative therapies under clinical development for ALS treatment: Small molecules.

Expert opinion on investigational drugs
INTRODUCTION: The clinical trial landscape for Amyotrophic Lateral Sclerosis (ALS) is a rapidly evolving field, characterized by significant obstacles but also by an increasing volume of novel therapeutics entering clinical research. Expanding on our... read more 

Circulating miR-10b-5p as a Candidate Biomarker of Atrial Fibrillation Recurrence After Catheter Ablation: A Two-Phase Translational Study.

Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology
BACKGROUND: The identification of reliable biomarkers for atrial fibrillation (AF) recurrence post-catheter ablation remains a clinical challenge. This study aimed to identify circulating microRNAs (miRNAs) associated with post-ablation AF recurrence... read more 

Modulating empathy with tDCS: dissociable roles of rTPJ and lDLPFC.

Psychological medicine
BACKGROUND: Empathy relies on distinct but interacting processes for representing others' states and regulating self-oriented affect. Neuroimaging studies implicate the right temporoparietal junction (rTPJ) in perspective-taking and the left dorsolat... read more 

Global Co-Occurrence Patterns of Ischemic Heart Disease and Metabolic Dysfunction-Associated Steatotic Liver Disease: Spatial Clusters, Risk Factors, and Quality-of-Care Index.

Journal of the American Heart Association
BACKGROUND: Ischemic heart disease and metabolic dysfunction-associated steatotic liver disease represent significant global health challenges, characterized by overlapping pathophysiological mechanisms. A comprehensive understanding of their spatial... read more 

Sex-Specific Prognostic Value of Left Atrioventricular Coupling Index in Acute Coronary Syndrome: Insights From Artificial Intelligence-Enhanced 3-Dimensional Echocardiography.

Journal of the American Heart Association
BACKGROUND: Left atrioventricular coupling index (LACI) has emerged as a prognostic biomarker, but its sex-specific relevance in acute coronary syndrome remains unclear. METHODS: This retrospective cohort included 880 patients with acute coronary syn... read more 

Artificial Intelligence-Enabled ECG for Elevated E/e' on Echocardiography: Hemodynamic Relevance and Prognostic Value.

Journal of the American Heart Association
BACKGROUND: Left ventricular filling pressure is associated with heart failure symptoms and a key prognostic marker and therapeutic target, but a scalable, accessible, and affordable tool for its noninvasive, serial estimation remains lacking. We dev... read more 

Volumetric phase-specific three-dimensional radiomics and machine learning for differentiation of non-mass enhancement in breast magnetic resonance imaging.

Diagnostic and interventional radiology (Ankara, Turkey)
PURPOSE: Non-mass enhancement (NME) in breast magnetic resonance imaging (MRI) is a diagnostically challenging entity due to overlapping benign and malignant features, observer variability, and high false-positive rates. This study evaluated the diag... read more