Artificial Intelligence Medical Compendium

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

Showing 69,141 to 69,150 of 233,923 articles

Spatial heterogeneity and evolutionary pathways of PM2.5 pollution driven by urbanization in China to 2100.

Environmental research
With the continued acceleration of global urbanization, PM2.5 pollution has become a critical environmental constraint to sustainable urban development. This study applied machine learning to predict the impacts of urbanization on PM2.5 concentration... read more 

Artificial intelligence in cardiothoracic monitoring and echocardiography.

Current opinion in anaesthesiology
PURPOSE OF REVIEW: This review describes the recent advancements of artificial intelligence (AI) in cardiothoracic anesthesia monitoring. RECENT FINDINGS: The application of AI in cardiothoracic anesthesia monitoring has potential to affect all phase... read more 

In-situ single-cell Raman spectroscopy profiling of fifteen food yeast species: Integrated viability monitoring, identification and enumeration.

Talanta
Monitoring essential yeasts during fermentation remains challenging, hindering process optimization and quality control of fermented foods and beverages. Here, we propose a novel method that combines automated scanning Raman microscopy (ASRS) with an... read more 

Cross-modality fusion of hematology-based digital and molecular biomarkers for intelligent epidemiological screening and surveillance of hepatocellular carcinoma.

Biosensors & bioelectronics
Early detection of hepatocellular carcinoma (HCC) remains a critical challenge due to the disease's complexity and the limitations of current screening and surveillance methods, which are often invasive, costly, or lack adequate sensitivity. There is... read more 

Prediction of IDH-mutation and 1p19q-codeletion status in adult-type diffuse gliomas using three-class radiomics models.

European journal of radiology
PURPOSE: To predict the genetic subtypes of adult-type diffuse gliomas with three-class MRI radiomics. MATERIAL AND METHODS: Four hundred and eighty patients with pathologically proved diffuse gliomas from our institution were randomly divided into t... read more 

Mechanistic insights into marine-derived PDE6D inhibitors disrupting prenyl-binding to modulate leukemia-associated RAS trafficking.

Computational biology and chemistry
Leukemia is a significant clinical issue, and some of its subtypes are characterized by dysregulated prenylation-dependent signaling that contributes to disease onset and therapeutic resistance. Intracellular trafficking of farnesylated cargos of onc... read more 

Raman imaging uncovers Ebracteolatain A's subtype-selective metabolic reprogramming in luminal versus triple-negative breast cancer cells.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Ebracteolatain A (EA), a potential anti-cancer agent, has demonstrated efficacy against breast cancer through protein kinase D1 inhibition. However, its effects on cellular metabolic reprogramming and activity against aggressive cancer subtypes remai... read more 

Uncertainty estimates in pharmacokinetic modelling of DCE-MRI.

Medical image analysis
Dynamic contrast-enhanced (DCE) MRI is a powerful technique for detecting and characterising various diseases by quantifying tissue perfusion. However, accurate perfusion quantification remains challenging due to noisy data and the complexity of phar... read more 

Development of advanced lung cancer inflammation index-based machine learning models for predicting stroke and mortality: A comparative and interpretable study.

Computer methods and programs in biomedicine
BACKGROUND: The Advanced Lung Cancer Inflammation Index (ALI) is a novel composite index that enables a more holistic evaluation of inflammation and nutritional status than established single or commonly used indices. However, ALI has not been extens... read more