Artificial Intelligence Medical Compendium

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

Showing 48,241 to 48,250 of 224,199 articles

Interpretable Deep Learning for Single-Molecule Nanopore Fingerprinting Using Physics-Guided Preprocessing.

ACS sensors
Rapid and robust molecular fingerprinting is critical in biomanufacturing, diagnostics, and environmental monitoring. Nanopore sensing provides single-molecule readouts as transient ionic current pulses; however, conventional analyses depend on handc... read more 

A REsampling and Visual EvALuation Method to Detect and Map Local Model Violations During Biomolecular Sequence Analysis.

Journal of computational biology : a journal of computational molecular cell biology
A fundamental assumption in phylogenetics and phylogenomics is that a single, global evolutionary model can adequately characterize the substitution processes operating across all sites in a molecular sequence alignment. However, this assumption is f... read more 

Anthropometry measurements of farm workers using computer vision-based multiview stereo-image sensing.

Work (Reading, Mass.)
BackgroundPrecise anthropometric data are vital for ergonomic assessment and farm machinery design. Manual methods, although dependable, are labor-intensive and susceptible to error.ObjectiveThis study aimed to develop and validate a computer vision ... read more 

Pericoronary Adipose Tissue Imaging: Quantitative Assessment, Artificial Intelligence Integration, and Therapeutic Modulation.

The British journal of radiology
Pericoronary adipose tissue (PCAT) is increasingly recognised as a biosensor of vascular inflammation. The guideline-driven widespread adoption of coronary computed tomography angiography (CCTA) as the first-line investigation for coronary artery dis... read more 

Leveraging Precision Medicine Analytics to Optimize Inflammation Reduction and Enhance Physical Function in Older Adults.

The journals of gerontology. Series A, Biological sciences and medical sciences
BACKGROUND: Chronic inflammation in older adults is a key contributor to functional decline and mortality. Although anti-inflammatory medications have shown limited success in improving physical function, emerging targeted approaches offer new promis... read more 

Constructing Diabatic Potential Energy Matrices with Quantum Dynamic Accuracy: A Neural Network Based Δ-Machine Learning Approach.

Journal of chemical theory and computation
A neural network (NN) based Δ-machine learning (Δ-ML) approach, which is based on inexpensive low-level energy data and a small number of high-level energies, for constructing the global diabatic potential energy matrices (PEMs) of the coupled states... read more 

BehaveAI enables rapid detection and classification of objects and behavior from motion.

PLoS biology
Here we introduce BehaveAI, a biologically inspired video analysis framework that integrates static and motion information through a novel color-from-motion encoding strategy. This method translates object movement-direction, speed, and acceleration-... read more 

Prediction of COVID-19 hospitalisation, ICU admission or death following ChAdOx1 vaccination using artificial intelligence: A clinical predictive model from the English RAVEN study.

PloS one
OBJECTIVES: This study identifies predictors of severe COVID-19 following completion of two-dose primary series of the AZD1222 COVID-19 vaccine, employing eXtreme Gradient Boosting (XGBoost) and Shapely additive explanations (SHAP), as an explainable... read more