Artificial Intelligence Medical Compendium

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

Showing 59,901 to 59,910 of 228,014 articles

Head-to-head comparison of the ability of the cardiometabolic index and triglyceride-glucose index to predict 3-year major adverse cardiovascular events in patients with atrial fibrillation: insights from a community cohort.

Lipids in health and disease
BACKGROUND: Atrial fibrillation (AF) represents the most common sustained cardiac arrhythmia and confers an elevated risk of major adverse cardiovascular events (MACEs). Emerging evidence indicates that metabolic dysregulation substantially influence... read more 

A Streamlined 4-item Wolf Motor Function Test for Efficient Assessment of Upper Extremity Motor Function in Chronic Stroke Survivors.

Neurorehabilitation and neural repair
BackgroundThe Wolf Motor Function Test (WMFT) is a well-recognized measure for assessing upper extremity motor function in stroke rehabilitation. However, prolonged administration time limits the WMFT in clinical use.ObjectiveThis study aimed to redu... read more 

Novel fatty acid amide hydrolase (FAAH) inhibitors: a patent review from 2015 to 2025.

Expert opinion on therapeutic patents
INTRODUCTION: Over the past decade, significant efforts have been made to develop and patent selective fatty acid amide hydrolase (FAAH) inhibitors with favorable pharmacokinetic and safety profiles to modulate pain, inflammation and neurological dis... read more 

The role of artificial intelligence in obstetrics and gynecology: Innovations, challenges, and opportunities explored through a bibliometric analysis.

International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics
OBJECTIVE: Artificial intelligence (AI) applications have garnered increasing interest in obstetrics and gynecology. This study aims to analyze the evolving research themes, temporal trends, and conceptual frameworks of AI applications in this field ... read more 

Machine Learning for Individual EV Classification Based on Highly Sensitive Multiplexed Mass Spectrometry Measurements.

Journal of the American Society for Mass Spectrometry
Here, we report on combining Random Forest (RF) classification with nanoprojectile secondary ion mass spectrometry (NP-SIMS) to analyze single extracellular vesicles (EVs) isolated from human liver cancer (HEPG2) and Normal liver cell lines. EVs were... read more 

Comprehensive Profiling of N6-methyladnosine (m6A) Readouts Reveals Novel m6A Readers That Regulate Human Embryonic Stem Cell Differentiation.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
N6-methyladenosine (m6A) modification constitutes a crucial layer of post-transcriptional regulations, but the landscape of its downstream readout effects remains less comprehensively understood. Therefore, we systematically assess the readout effect... read more 

Single-Cell Morphometrics From Hematoxylin and Eosin-Stained Images Reveals Subtype-Specific Features in Chronic Lymphocytic Leukemia.

Cytometry. Part A : the journal of the International Society for Analytical Cytology
Chronic lymphocytic leukemia (CLL) is a highly heterogeneous B-cell malignancy, spanning a spectrum from indolent conventional forms (C-CLL) to Richter transformation. Accelerated CLL (A-CLL) represents an intermediate subtype, histologically and cli... read more