Artificial Intelligence Medical Compendium

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

Showing 27,371 to 27,380 of 218,826 articles

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 

Advances in Large-Scale Surveying and Monitoring of Large Wild Animals Using Unmanned Aerial Vehicles.

Integrative zoology Apr 23, 2026
As the number of endangered animal species increases, their conservation requires effective methods for the surveying and monitoring of the spatial and temporal distributions of targeted species, often on a large scale. Traditional methods often fail... read more 

AI in Atomic Force Microscopy: Advancing Biological Nanoscale Imaging and Autonomous Discovery.

ACS nano Apr 23, 2026
Atomic force microscopy (AFM) enables label-free nanoscale imaging and nanomechanical profiling but remains constrained by low throughput, operator dependence, and variability in data interpretation. Artificial intelligence (AI) transforms AFM into a... read more 

Efficient and Equivariant Prediction of Distributed Charges for Accurate Molecular Electrostatics.

Journal of chemical theory and computation Apr 23, 2026
A machine learning (ML) based, equivariant neural network for constructing distributed charge models (DCMs) of arbitrary resolution─DCM-net─is presented. DCMs efficiently and accurately model the anisotropy of the molecular electrostatic potential (E... read more 
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