Artificial Intelligence Medical Compendium

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

Showing 22,631 to 22,640 of 216,842 articles

Accuracy of AI-assisted diagnostic tools for Schistosoma haematobium: A systematic review and meta-analysis.

PLoS neglected tropical diseases
BACKGROUND: Urogenital schistosomiasis caused by Schistosoma haematobium remains endemic in sub-Saharan Africa. Diagnosis traditionally relies on urine microscopy to detect parasite eggs; however, its sensitivity declines in low-intensity infections.... read more 

Single-cell data integration across weakly linked modalities.

PLoS computational biology
Rapid advancements in technology enables the measurement of multimodal data at single-cell resolution, but with emerging modalities that are characterized by weak correlations with other modalities. Several computational approaches attempt to integra... read more 

Intelligent diagnosis of major depressive disorder with edge convolution and contrastive learning.

PloS one
Based on functional connectivity (FC) matrices derived from resting-state functional magnetic resonance imaging (rs-fMRI) data, graph neural networks (GNNs), as an advanced deep learning technique, have been widely applied in major depressive disorde... read more 

Sodium nitrite promotes atherosclerosis via IL-1β: Network toxicology and machine learning insights.

PloS one
BACKGROUND: Atherosclerosis (AS) is a major global health burden. Sodium nitrite, a common environmental and dietary contaminant, has been implicated in promoting AS, but its systematic molecular mechanisms remain unclear. METHODS AND RESULTS: To add... read more 

Artificial Intelligence in the Trauma Bay: A Pilot Comparison With Surgical Trainees.

The American surgeon
BackgroundLarge language models (LLMs) have demonstrated strong performance on general medical knowledge assessments; however, their accuracy within high-acuity, guideline-driven surgical environments such as the trauma bay remains incompletely chara... read more 

Automatic Detection of Ganglion Cells as a Supporting Tool for Hirschsprung Disease Diagnosis.

International journal of surgical pathology
Hirschsprung disease (HD) is a congenital disorder characterized by the absence of ganglion cells in the colonic nervous plexuses, resulting in bowel obstruction and various complications. The diagnosis of HD demands expertise, experience, and ancill... read more 

Search for Low-Periodic Substructures in Crystalline Solids: A Novel Approach.

ACS applied materials & interfaces
The discovery of new 2D materials is vital for advancing electronics and quantum technologies. As most 2D materials originate from layered bulk structures, identifying exfoliable crystals and estimating the energy required to isolate a single layer a... read more 

Readability of AI-Generated Patient Information on Glucagon-Like Peptide-1 Receptor Agonists.

JMIR bioinformatics and biotechnology
Artificial intelligence (AI)-generated content on glucagon-like peptide-1 receptor agonists (GLP-1RAs) gave informationally detailed responses, but its readability remains suboptimal for many patients. Incorporating literacy-sensitive design principl... read more 

Anxiety and Depression Associated With the Dependent Use of Generative AI in Medical Students: Cross-Sectional Study.

JMIR formative research
BACKGROUND: The growing integration of artificial intelligence (AI) in higher education has transformed learning processes but also raised concerns about potential mental health risks. Medical students represent a particularly vulnerable group due to... read more 

Feasibility and Acceptability of a Prevention-Focused Screener for Perinatal Depression Risk: Mixed Methods Cohort Study.

JMIR human factors
BACKGROUND: More than 20% of perinatal women experience depression, with suicide being a leading cause of maternal death in the United States. Professional societies emphasize the need to identify those at risk of developing perinatal depression to b... read more