Artificial Intelligence Medical Compendium

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

Showing 30,321 to 30,330 of 220,100 articles

Changes in computed tomography derived muscle and pulmonary tissue in patients hospitalized for COVID-19: a 12-month follow-up study.

Clinical nutrition ESPEN
BACKGROUND: Prolonged muscle loss and persistent pulmonary radiological manifestations have been observed among previously hospitalized COVID-19 patients. This study aimed to investigate the patterns of change and the association between computed tom... read more 

Industry-Sponsored Research Payments in Radiology: A National Open Payments Analysis.

Journal of the American College of Radiology : JACR
INTRODUCTION: Industry funding for research is important in the era of decreasing federal research support. The goal of this study was to assess the trends in the proportion of industry research payments to radiologists. METHODS: Research payment dat... read more 

DeepCRI: Real-time EEG-based Prognostication after Cardiac Arrest.

Resuscitation
Accurate prediction of neurological outcome after cardiac arrest is essential for guiding intensive care decisions. Electroencephalography (EEG) supports prognostication; however, interpretation relies on expert judgment and is often subjective and d... read more 

The association between PM2.5 components and cognitive decline: the impact of measurement error correction.

Environmental research
Growing evidence suggests that exposure to fine particulate matter (PM2.5) may accelerate cognitive decline and increase dementia risk, but the roles of individual PM2.5 components, particularly when accounting for exposure measurement error, remain ... read more 

SaintGSE: Transformer-based efficient and explainable gene set enrichment analysis.

Osteoarthritis and cartilage
OBJECTIVE: Gene set enrichment analysis (GSEA) is widely used to interpret genome-wide expression data, but pathway inference from differentially expressed gene (DEG) signatures remains limited by data scarcity, model incompatibility with tabular dat... read more 

Effect of Deep Learning Attenuation Correction on Accuracy of Stress Myocardial Perfusion Imaging.

Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology
BACKGROUND: Attenuation correction (AC) improves the accuracy of myocardial perfusion imaging for detecting coronary artery disease (CAD). There has been limited application of deep learning attenuation correction (DLAC) in cadmium-zinc-telluride (CZ... read more 

Inverting a new hydrogen map on the moon derived from Chang'E-2 gamma-ray spectrum data.

Applied radiation and isotopes : including data, instrumentation and methods for use in agriculture, industry and medicine
This study addresses the challenge of extracting subtle 2H characteristic γ ray ([email protected] MeV) count from the Chang'e-2 Gamma-Ray Spectrometer (CE2-GRS) data for inversing lunar water. Traditional methods interfered with by radioactive nuclides, such... read more 

Cross-sectional research: Application of an Artificial Intelligence-Based Pediatric Early Warning Score in the Pediatric Emergency Department.

JMIR formative research
BACKGROUND: There are a large number of pediatric emergency patients. Due to the fact that the children cannot describe their own conditions, there is a shortage of nursing staff, it is extremely important to identify the early warning signs of the c... read more 

What is diagnosis in the age of artificial intelligence.

Diagnosis (Berlin, Germany)
The integration of artificial intelligence into clinical practice demands fundamental reconsideration of how we conceptualize diagnosis. Clinical and popular discourse often frames diagnosis as a "virtuoso model" emphasizing individual physician expe... read more 

An ensemble pipeline, PhageHost, for phage tail fiber discovery and accurate Klebsiella pneumoniae host prediction using protein language models.

Cell reports
The high specificity of phages toward their hosts holds great promise for phage therapy while posing a challenge to computational prediction approaches. To this end, we introduce PhageHost (P&H), an ensemble pipeline for large-scale discovery of phag... read more