Artificial Intelligence Medical Compendium

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

Showing 37,241 to 37,250 of 223,469 articles

Impact of an Ambient AI Scribe Among Clinicians and Patients: Real-World Prospective Observational Time-Motion Study.

JMIR medical informatics
BACKGROUND: Ambient artificial intelligence scribes are increasingly used to reduce clinician burnout and cognitive load, although their impact on documentation time remains inconsistent across studies. Most existing real-world impact studies have be... read more 

Emotion recognition based on feature weight analysis of multiple physiological signals.

PloS one
Emotion recognition stands as a complex and prominent challenge within contemporary artificial intelligence research. Deep learning on physiological signals has boosted emotion recognition, yet unimodal limits, ignored channel importance, and tempora... read more 

Machine learning assisted differentiation of low acuity patients at dispatch: The MADLAD randomized controlled trial.

PLoS medicine
BACKGROUND: Resource Constrained Situations (RCS) at Emergency Medical Dispatch centers where there are more patients requiring an ambulance than there are available ambulances are common. Machine Learning (ML) techniques offer a promising but largel... read more 

Recent advances in corneal specular microscopy image analysis through artificial intelligence.

PLOS digital health
Although conventional automated analysis of corneal specular microscopy images has historically been limited by reproducibility challenges in the presence of corneal guttae, recent advances in artificial intelligence (AI) have significantly enhanced ... read more 

From Knowledge Graphs to Digital Twins: Perspectives on Modeling Patient Outcomes for Health Care Quality Assessment.

Journal of medical Internet research
Medical applications of mathematical modeling, including machine learning models, knowledge graphs, and health digital twins, primarily involve the prediction of patient outcomes. This expert perspective examines how mathematical modeling can contrib... read more 

Fine-grained identification of tea plantation parcels in UAV remote sensing images based on DVIT-UNet.

PloS one
The complex terrain and diverse management practices in tea-producing regions have resulted in highly fragmented tea plantation plots, posing challenges to precision cultivation, yield estimation, and ecological management. Although remote sensing te... read more 

Artificial Intelligence-Based LC-OzESI-MRM for Isomer-Resolved Triacylglycerol Profiling by In-Source Ozonolysis.

Analytical chemistry
The structural complexity of triacylglycerols (TGs) and the positional specificity of carbon-carbon double bonds (C═C) within fatty acyl (FA) chains present a formidable challenge in structural lipidomics. Traditional tandem mass spectrometry (MS) ap... read more 

SKOOTS: Skeleton-Oriented Object Segmentation for Mitochondria in High-Resolution Cochlear EM Datasets.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Segmenting individual instances of mitochondria from imaging datasets can provide rich quantitative information, but manual segmentation is prohibitively time-consuming-prompting the development of automated algorithms based on deep neural networks. ... read more