Artificial Intelligence Medical Compendium

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

Showing 27,541 to 27,550 of 218,939 articles

DNA methylation-based classification of hematolymphoid neoplasms.

Blood advances Apr 23, 2026
Accurate pathological diagnosis of hematolymphoid neoplasms (HLN) is often challenging due to their complexity and heterogeneity. Genome-wide DNA methylation profiling has emerged as a valuable tool for tumor classification and diagnosis across malig... read more 

Advancing collagen-related pathology assessment through second-harmonic generation imaging.

Journal of microscopy Apr 23, 2026
Collagen remodelling and dysregulation are the hallmarks of diverse pathological conditions. In this context, second-harmonic generation (SHG) imaging has emerged as a powerful label-free modality for assessing collagen. This offers submicron resolut... read more 

YeastSAM: A Deep Learning Model for Accurate Segmentation of Yeast Cells.

Molecular biology of the cell Apr 23, 2026
Cell segmentation-the process of defining cell outlines in microscopy images-is essential for quantitative image analysis. Segmentation of budding yeast is challenging due to their asymmetric cell division and mother-bud morphology. Consequently, div... read more 

Predicting challenges and opportunities in improving snakebite envenoming management in Ghana.

Transactions of the Royal Society of Tropical Medicine and Hygiene Apr 23, 2026
BACKGROUND: Snakebite envenoming (SBE) is a neglected tropical disease and a major public health crisis in Africa. We integrated a maximum difference experimental design and machine learning (ML) models to predict challenges and opportunities for imp... read more 

A Deep Neural Network for Interpreting Wearable Electrocardiogram Data in Atrial Fibrillation: Prospective Observational Diagnostic Accuracy Study.

JMIR mHealth and uHealth Apr 23, 2026
BACKGROUND: Atrial fibrillation (AF) and atrial flutter (AFL) are common arrhythmias associated with the risk of ischemic stroke, which can be reduced with anticoagulation therapy. Thus, early diagnosis of AF and AFL is essential. However, diagnosis ... read more 

Structure Prediction of Organic/Inorganic Interfaces with Genarris.

Journal of chemical theory and computation Apr 23, 2026
Organic/inorganic interfaces perform critical functions in organic electronic devices, and their structure can affect device performance. In addition, interactions with the substrate can promote the growth of otherwise metastable thin-film structures... read more 

Using tree-based ensemble methods to produce a population-based mortality risk score in Ontario, Canada.

PloS one Apr 23, 2026
INTRODUCTION: Risk adjustment is critical in observational epidemiology to control for confounding of the exposure-outcome relationship. Accurate prediction of outcomes, such as mortality, can improve risk adjustment. In the present study, we compare... read more 

Neural network architectures and normalization techniques for automated sleep stage classification using rodent EEG and EMG signals.

PloS one Apr 23, 2026
Accurate sleep stage classification in animal models is crucial for translational sleep research, enabling the study of mechanistic pathways and therapeutic interventions. Because manual scoring is labor-intensive and variable, artificial neural netw... read more 

Biomarkers of mitochondrial dynamics in idiopathic pulmonary fibrosis: Identification and validation through transcriptomic and single-cell analyses.

PloS one Apr 23, 2026
BACKGROUND: Idiopathic pulmonary fibrosis (IPF) is a progressive fibrotic lung disease that has increasingly been associated with dysregulated mitochondrial quality control and dynamics. However, the molecular mechanisms underlying these alterations ... read more 

A load forecasting method based on edge graph attention network.

PloS one Apr 23, 2026
Given the increasing demand for high-accuracy power load forecasting, traditional load forecasting methods can capture long-term dependencies in time series, but cannot fully capture the complex relationships between multi-dimensional features. This ... read more 
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