Artificial Intelligence Medical Compendium

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

Showing 4,011 to 4,020 of 172,986 articles

Steering towards safe self-driving laboratories.

Nature reviews. Chemistry Aug 18, 2025
The past decade has witnessed remarkable advancements in autonomous systems, such as automobiles that are evolving from traditional vehicles to ones capable of navigating complex environments without human intervention. Similarly, the rise of self-dr... read more 

A review of landfill odors assessment: Advancing from stationary measurement to spatiotemporal monitoring.

Waste management (New York, N.Y.) Aug 18, 2025
Odor issues from landfills remain a persistent environmental challenge, exacerbated by the increasing urbanization and the decreasing proximity of residential areas to waste disposal sites. Conventional odor measurement methods (e.g., olfactometry, g... read more 

ProtAlign-ARG: antibiotic resistance gene characterization integrating protein language models and alignment-based scoring.

Scientific reports Aug 18, 2025
The evolution and spread of antibiotic resistance pose a global health challenge. Whole genome and metagenomic sequencing offer a promising approach to monitoring the spread, but typical alignment-based approaches for antibiotic resistance gene (ARG)... read more 

Modeling the MRI gradient system with a temporal convolutional network: Improved reconstruction by prediction of readout gradient errors.

Magnetic resonance in medicine Aug 18, 2025
PURPOSE: Our objective is to develop a general, nonlinear gradient system model that can accurately predict gradient distortions using convolutional networks. read more 

Improving drug-induced liver injury prediction using graph neural networks with augmented graph features from molecular optimisation.

Journal of cheminformatics Aug 18, 2025
PURPOSE: Drug-induced liver injury (DILI) is a significant concern in drug development, often leading to the discontinuation of clinical trials and the withdrawal of drugs from the market. This study explores the application of graph neural networks ... read more 

Deep fusion of incomplete multi-omic data for molecular mechanism of Alzheimer's disease.

Scientific reports Aug 18, 2025
Multi-omics data provides a comprehensive view of biological systems and enables researchers to uncover intricate molecular mechanisms underlying complex diseases. However, multi-omic data is often incomplete and joint modeling of multi-omics data wi... read more 

Advances in artificial intelligence and precision nutrition approaches to improve maternal and child health in low resource settings.

Nature communications Aug 18, 2025
Malnutrition continues to be a major threat to health, particularly maternal and child health in low resource settings, resulting in impairments in cognitive function, growth, and development, and metabolic diseases later in life. Nutritional assessm... read more 

Deep learning for retinal non-perfusion and foveal avascular zone analysis in wide-field OCTA in diabetic retinopathy.

Scientific reports Aug 18, 2025
We developed an automated framework for segmenting low-quality and non-perfusion areas in widefield OCTA images to obtain two key metrics useful for diabetic retinopathy (DR) monitoring: the retinal non-perfusion index (NPI) and foveal avascular zone... read more 

ReviewGenie: a novel automated system for systematic reviews-an exploratory study in speech and language disorders.

Systematic reviews Aug 18, 2025
BACKGROUND: Systematic reviews (SRs) are a cornerstone in providing high-quality evidence that guides policy and practice across various disciplines. Despite their critical role, SRs require substantial financial investment and are constrained by tim... read more 

Cycle-configuration descriptors: a novel graph-theoretic approach to enhancing molecular inference.

Journal of cheminformatics Aug 18, 2025
Inference of molecules with desired activities/properties is one of the key and challenging issues in cheminformatics and bioinformatics. For that purpose, our research group has recently developed a state-of-the-art framework mol-infer for molecular... read more 
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