Artificial Intelligence Medical Compendium

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

Showing 42,511 to 42,520 of 223,853 articles

Non-polio enterovirus infection and electrophysiological changes in human iPSC-derived neural networks.

EBioMedicine
BACKGROUND: The non-polio enteroviruses (NPEV) enterovirus D68 (EV-D68) and enterovirus A71 (EV-A71) are highly prevalent and considered pathogens of increasing health concern due to their neurotropic potential. Severe neurological complications of u... read more 

Recent advances in plastic waste management: A systems-level framework for circular plastic economy strategies-A state-of-the-art review.

Journal of environmental management
Plastic waste accumulation represents a persistent environmental challenge driven by rapidly increasing polymer production, short product lifecycles, and insufficient end-of-life management. Although the circular economy emphasizes recyclability and ... read more 

Who Is Really Deciding? AI and Clinical Judgement in Dentistry.

International dental journal
The integration of AI in dental practice, primarily through AI-enabled software, influences clinical workflows by promoting rapid decision-making and potentially increasing bias stemming from its automation bias. While these systems demonstrate high ... read more 

Ontology-aware DNA methylation classification with a curated atlas of human tissues and cell types.

Cell reports methods
DNA methylation is a key regulatory mechanism reflecting both short- and long-term biological stimuli. While it has been widely used to study aging through disease-associated methylation shifts, its potential for revealing tissue-specific shifts rema... read more 

Scalable nonparametric clustering with unified marker gene selection for single-cell RNA-seq data.

Cell reports methods
Clustering is commonly used in single-cell RNA sequencing (scRNA-seq) to assess cellular heterogeneity, but standard methods often require user-specified heuristics and rely on post-selective differential expression analyses, which often lead to infl... read more 

Performance of large language models conducting systematic review tasks in prosthodontics.

The Journal of prosthetic dentistry
STATEMENT OF PROBLEM: Systematic reviews (SRs) are time-consuming and resource-intensive processes. Whether large language models (LLMs) can improve the process is unclear. PURPOSE: The purpose of this study was to evaluate the accuracy and reliabili... read more 

Re-defining the 3Rs of pre-clinical research in nuclear medicine.

Seminars in nuclear medicine
Pre-clinical nuclear medicine occupies a distinctive position in biomedical research, simultaneously driving radioligand discovery for diagnostic imaging and targeted radionuclide therapy while serving as a cross-disciplinary tool for investigating d... read more 

Quantification, radiomics and artificial intelligence in infection imaging: Current status and future directions in nuclear medicine.

Seminars in nuclear medicine
Nuclear medicine infection imaging has traditionally relied on semantic visual interpretation supported by simple semi-quantitative indices. While effective, this paradigm is limited by observer dependence, restricted sensitivity to subtle or diffuse... read more 

Beyond the baseline: mapping the context-specific regulatory landscape of disease.

Trends in genetics : TIG
Genome-wide association studies have identified thousands of intergenic variants associated with disease, most of which are presumed to act by affecting gene regulation. Standard expression quantitative trait locus (eQTL) studies were able to link ma... read more