Artificial Intelligence Medical Compendium

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

Showing 17,361 to 17,370 of 213,726 articles

Coronary stenosis assessment: AI-based CT quantification, visual analysis of invasive angiography, and quantitative coronary angiography.

Insights into imaging
OBJECTIVE: To evaluate the diagnostic performance for coronary stenosis of artificial intelligence (AI)-based CT quantification, manual CT quantification, and visual invasive coronary angiography (ICA) assessment against quantitative coronary angiogr... read more 

An interpretable PET/CT-based radiomic-clinical model for predicting bone marrow involvement in follicular lymphoma: comparison of pelvic and spine-pelvis VOI frameworks.

European journal of nuclear medicine and molecular imaging
PURPOSE: To investigate the feasibility of non-invasively identifying bone marrow involvement (BMI) in follicular lymphoma (FL) using baseline 18F-FDG PET/CT combined with multidimensional feature fusion, and to compare the impact of different bone m... read more 

Transcriptomic Analysis and Multiple Machine Learning Approaches Identify ZDHHC20 and Its Highly Correlated Gene AK5 as Biomarkers in Multiple System Atrophy.

Journal of molecular neuroscience : MN
Multiple system atrophy (MSA) is a fatal neurodegenerative disorder lacking effective diagnostic tools. While protein palmitoylation is crucial for neuronal function, its specific role in MSA pathogenesis remains unexplored. We integrated bulk and si... read more 

Breaking glycolysis: allosteric hotspots for multi-target drug repurposing.

Journal of computer-aided molecular design
Glycolysis is essential for cellular energy production, making its enzymes attractive antimicrobial targets. Traditional strategies targeting conserved catalytic sites risk host toxicity due to limited species specificity. Allosteric sites-spatially ... read more 

Humanized-Intelligent-Green Chemistry (hiGC) Paradigm: Advancing Beyond Traditional Green Chemistry Illustrated by Ionic Liquids and Deep Eutectic Solvents.

Chemistry (Weinheim an der Bergstrasse, Germany)
Ionic liquids (ILs) and deep eutectic solvents (DESs) are two types of innovative green solvents that significantly enhance the development of green chemistry. The 12 principles proposed by Anastas et al. in 1998 have guided the advancement of green ... read more 

Multi-year monitoring and modeling of benthic environmental improvement by oyster shell capping on coastal sediments.

Marine pollution bulletin
This study evaluated the multi-year efficacy of oyster shell (OS) capping for reducing benthic phosphorus release and improving coastal ecosystems by integrating laboratory experiments, field monitoring, and hybrid biogeochemical modeling. Using ambi... read more 

Use of Artificial Intelligence in prostate MRI: A rapid scoping review highlighting limited evidence in screening context.

European journal of radiology
BACKGROUND AND OBJECTIVE: Artificial Intelligence (AI) is seen as a potential solution to alleviate workforce demands arising from growing use of magnetic resonance imaging (MRI) in prostate cancer (PCa) screening. We aimed to synthesize the evidence... read more 

Aberration-aware 3D localization microscopy via self-supervised neural-physics learning.

Nature communications
Single-molecule localization microscopy (SMLM) enables volumetric nanoscopy by retrieving 3D molecular positions from engineered 2D fluorescence patterns. However, achieving nanoscale resolution over large axial ranges in complex samples remains chal... read more 

De novo design of peptides localizing at the interface of biomolecular condensates.

Nature communications
The interface of biomolecular condensates plays a key role in processes such as protein aggregation and biochemical reactions, making it an attractive target for engineering condensates. However, the molecular grammar that drives preferential localiz... read more 

An enhanced ensemble deep learning model integrating three strategies for runoff modeling in the Qinghai Lake Basin.

Scientific reports
Accurate runoff forecasting is crucial for water resource management in the cold-arid Qinghai Lake Basin (northeastern Tibetan Plateau), yet complex snowmelt dynamics and spatiotemporal heterogeneity limit traditional models. This study develop a nov... read more