Artificial Intelligence Medical Compendium

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

Showing 10,151 to 10,160 of 208,952 articles

A topological fingerprint encodes motor skill at rest.

The Journal of neuroscience : the official journal of the Society for Neuroscience
In this study, we investigated whether the architecture of brain interactions at rest maintains a representation of individual behavioral skills. Specifically, we aimed to identify a minimal set of topological features that capture an electrophysiolo... read more 

Diagnostic Performance of General Practitioners in Carotid Plaque Detection Using AI-Enhanced Point-of-Care Ultrasound After Systematic Training.

Annals of family medicine
PURPOSE: While point-of-care ultrasound (POCUS) has been integrated into daily practice by general practitioners (GPs) in some countries, there is a paucity of literature documenting its use by Chinese GPs. Additionally, artificial intelligence (AI)-... read more 

Toward explainable and generalizable data-driven modeling in real wastewater treatment plants: Utilizing bidimensional interpretable deep learning and cross-scenario transfer learning.

Journal of environmental management
Data-driven models have increasingly been used as useful tools for process simulation in urban wastewater treatment plants (WWTPs), but their lack of interpretability and limited generalization hinder their application in practical engineering scenar... read more 

The 'neat' and 'messy' in task-dependent neural geometry and computation.

Trends in neurosciences
To solve diverse real-world tasks, the brain must flexibly switch between task rules and adjust computations. Recent advances in analyzing neural data and modeling neural networks have revealed their 'neat' features: neuronal population activity enco... read more 

Metabolic Health is Highly Predictive of Chronic Pain Among Non-Obese Adults: Evidence from the NHANES and CHARLS Studies.

Pain management nursing : official journal of the American Society of Pain Management Nurses
OBJECTIVE: To investigate the predictive value of the estimated glucose disposal rate (eGDR) for chronic pain (CP) and to evaluate its consistency as a metabolic biomarker across diverse populations. DESIGN: A cross-sectional and retrospective cohort... read more 

The Impact of Artificial Intelligence on Radiology Specialty Preferences Among Canadian Medical Students and Residents.

Academic radiology
RATIONALE AND OBJECTIVES: Artificial intelligence (AI) is playing an increasingly significant role in radiology While prior studies examined medical student perceptions of AI, they predate recent advances and don't capture resident perspectives. This... read more 

Synthetic computed tomography of the head from magnetic resonance imaging based on latent diffusion model.

Academic radiology
RATIONALE AND OBJECTIVES: Magnetic resonance imaging (MRI) is widely used in head scans. However, MRI lacks electron density information, which is inherent to computed tomography (CT). This study aimed to synthesize head CT from MRI using latent diff... read more 

Machine Learning Model Predicts Clinical Adverse Events of Small Molecule Kinase Inhibitors in Cancer Patients Using On-/Off-Target Engagement and Tissue Selectivity.

Clinical pharmacology and therapeutics
Adverse events (AEs) of small molecule kinase inhibitors (SMKIs) at therapeutic doses in cancer patients are largely unpredictable in phase I-III studies and clinical use, despite extensive preclinical toxicity testing under good laboratory practice ... read more 

Applications, Progress, and Challenges of Surfactants in Chemical Mechanical Polishing for Copper Interconnects.

Langmuir : the ACS journal of surfaces and colloids
With the continuous advancement of integrated circuits (ICs), copper (Cu) interconnects require chemical-mechanical polishing (CMP) with high planarization accuracy, low defect density, and strict corrosion control. Surfactants are crucial components... read more 

Advanced Quantitative CT for Coronary Artery Disease: Integrating Stenosis-, Plaque Quantification, and FFR-CT.

The British journal of radiology
Coronary artery disease (CAD) continues to be a leading cause of death globally. Radiological evaluation of CAD generally consists of stenosis detection by cardiac computed tomographic angiography (CCTA). However, this approach can be inefficient and... read more