Artificial Intelligence Medical Compendium

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

Showing 48,211 to 48,220 of 224,199 articles

Climate Change and Globally Sustainable Cardiovascular Magnetic Resonance.

Magnetic resonance imaging clinics of North America Feb 20, 2026
Climate change is driving increased cardiovascular risk and demand for medical imaging. While cardiovascular magnetic resonance (CMR) plays a critical role in diagnosing and managing cardiovascular disease, it is also among the most environmentally i... read more 

Accurate Prediction of Humphrey 10-2 Visual Fields in Glaucoma from a Single Rapid IMOvifa 24plus(1-2).

Ophthalmology science Feb 20, 2026
PURPOSE: Predicting the Humphrey Field Analyzer (HFA) 10-2 visual field (VF) using machine learning (ML) based on IMOvifa 24plus(1-2) VF data. DESIGN: Retrospective cross-sectional study. PARTICIPANTS: Seventy actual IMOvifa 24plus(1-2) tests from 25... read more 

A machine learning model for predicting adverse prognostic events in patients with neurosyphilis: Results from the DEFEAT-NS study.

iScience Feb 20, 2026
Identifying patients at highest risk of serious adverse prognostic events (AE) in neurosyphilis could enable risk-stratified treatment beyond clinical judgment. We developed machine-learning models using electronic health records from six Chinese inf... read more 

From AI discovery to macroscopic formula: a quasi-stability criterion for quantum dots inspired by Elon Musk's vision.

Nanoscale Feb 20, 2026
With rapid advancement of artificial intelligence (AI), particularly the vision articulated by Elon Musk that AI can "discover new physics" and derive novel scientific theories from first principles, presenting an unprecedented opportunity for a para... read more 

Development and proof-of-concept of a treatment target recommendation algorithm in the context of cognitive processing therapy.

European journal of psychotraumatology Feb 20, 2026
Background: Cognitive Processing Therapy (CPT) is an effective, widely supported treatment for PTSD, but patient response varies considerably. Optimally targeting maladaptive trauma-related beliefs (stuck points) may significantly enhance treatment o... read more 

A Wearable Brain-Computer Interface for Mitigating Car Sickness via Attention Shifting.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Feb 20, 2026
Car sickness, an enormous vehicular travel challenge, affects a significant proportion of the population. Pharmacological interventions are limited by adverse side effects, and effective nonpharmacological alternatives remain to be identified. Here, ... read more 

Engineered Living Systems With Self-Organizing Neural Networks: From Anatomy to Behavior and Gene Expression.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Feb 20, 2026
A great deal is known about the formation and architecture of biological neural networks in animal models, which have arrived at their current structure-function relationship through evolution by natural selection. Little is known about the developme... read more 

PM10 Impairs CD56dim NK Cell Cytotoxicity via FNBP1 Suppression to Exacerbate Rheumatoid Arthritis: Insights from Multimodal Multi-Omics.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Feb 20, 2026
Air pollution (AP), intensified by industrialization and urbanization, is a key environmental factor linked to rheumatoid arthritis (RA). However, its molecular and immunological impact on RA remains unclear. This study integrates epidemiological dat... read more 

vEMRec: High-Resolution Volume Electron Microscopy Reconstruction Based on Structure-Preserving and High-Fidelity 3D Alignment.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Feb 20, 2026
Three-dimensional (3D) alignment is a key step in volume electron microscopy (vEM), aimed at addressing misalignment during data acquisition, thereby recovering the correct biological structures. However, automated 3D alignment has long been challeng... read more 

Inflammatory indices, machine learning and artificial intelligence in tubal ectopic pregnancy management.

Turkish journal of obstetrics and gynecology Feb 20, 2026
OBJECTIVE: To assess the predictive value of hematologic and biochemical inflammatory indices for methotrexate (MTX) treatment outcomes in tubal ectopic pregnancy (TEP) and to develop machine learning (ML) models for individualized risk stratificatio... read more 
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