Artificial Intelligence Medical Compendium

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

Showing 46,181 to 46,190 of 224,055 articles

AI-driven forecasting of Vibrio vulnificus in the Southern Baltic Sea using high-resolution data.

Water research
Vibrio vulnificus poses a growing public health risk in the brackish Baltic Sea, where rising summer sea temperatures can create optimal conditions for this potentially lethal pathogen. V. vulnificus can cause severe infections through open wounds, a... read more 

A novel physics-informed AI framework for the assessment and prediction of indoor radon concentration and risk classification.

Applied radiation and isotopes : including data, instrumentation and methods for use in agriculture, industry and medicine
Indoor radon gas is a leading environmental cause of lung cancer, yet accurate risk assessment remains challenging due to the practical difficulties of direct measurement. This study introduces a novel Physics-Informed Neural Network (PINN) framework... read more 

Molecular-level insights into oxidant sensitivity of algal extracellular organic matter and disinfection by-product formation during chlorination/ozonation.

Water research
Algal blooms release substantial extracellular organic matter (EOM), challenging drinking water safety. Disinfection process inevitably transforms EOM, which is recognized as an important precursor of disinfection by-products (DBPs). However, the mol... read more 

Dual-scale bionic sensor with high stretchability for AI-enabled squatting motion monitoring.

Biosensors & bioelectronics
Real-time monitoring of knee flexion during sports is critical for injury prevention, yet precise measurement remains challenging due to large flexion amplitudes and complex velocity-frequency characteristics. To address this challenge, we propose a ... read more 

Single-nucleus multi-omics dissection of dysregulated trophoblast development and disrupted immune microenvironment in complete hydatidiform moles.

Science China. Life sciences
Hydatidiform mole (HM) is driven by aberrant trophoblast proliferation, disrupting embryonic development and leading to pregnancy loss with increased risk of malignant progression. Despite its clinical significance, the cellular and molecular heterog... read more 

Evaluating Guideline-Adherent Antibiotic Use for Skin Infections Using Natural Language Processing: A Pilot Study.

Pediatric emergency care
OBJECTIVE: To develop and evaluate an internally validated natural language processing (NLP) model to determine guideline adherence of antibiotic decisions in the emergency department (ED) for skin and soft tissue infections (SSTIs). METHODS: This cr... read more 

A multi-platform analytical strategy for Atractylodes lancea authentication: Fusion of stable isotope, elemental, chromatographic, and spectroscopic profiles.

Talanta
BACKGROUND & AIMS: The quality and market value of the medicinal herb Atractylodes lancea (AL) are critically dependent on its variety, geographical origin, and production mode. To combat adulteration and ensure efficacy, we developed a novel multi-p... read more 

GMN-Zoomer: Learning graph similarity via hierarchical parsing, pooling and matching.

Neural networks : the official journal of the International Neural Network Society
Graph similarity learning aims to measure the similarity between graph pairs within a learning paradigm. It can effectively address the NP-hard challenges posed by traditional metrics, such as graph edit distance and maximum common subgraph. However,... read more 

DADiffNet: Delay-aware diffusion networks with adaptive subgraphs for large scale traffic forecasting.

Neural networks : the official journal of the International Neural Network Society
Rapid urban expansion and growing traffic demand make accurate traffic forecasting increasingly important. However, methods that rely solely on absolute flow values often fail to explicitly capture upstream-triggered perturbations and their delayed d... read more 

Genetic basis of immune-mediated necrotizing myopathy: A genomic structural equation modeling and AI-driven structural analysis.

Computational biology and chemistry
BACKGROUND: Immune-mediated necrotizing myopathy (IMNM) constitutes an autoimmune myopathy precipitated by autoantibodies, marked by rapid progression and recurrent exacerbations, with no approved curative therapies currently available. Genetic deter... read more