Artificial Intelligence Medical Compendium

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

Showing 42,001 to 42,010 of 223,853 articles

RaMoA: Raman Microspectroscopy and Deep Learning for the Classification of Antimicrobial Mechanism of Action.

ACS infectious diseases Mar 13, 2026
We propose an innovative technology based on the combination of Raman microspectroscopy and deep learning to classify the Mechanism of Action (MoA) of antimicrobials and predict their novelty. Raman microspectroscopy provides chemical and physical si... read more 

IRN2Vec: A representation learning model for road network intersections by integrating geospatial attributes and travel behaviors.

PloS one Mar 13, 2026
The structural characterization of road networks serves as a critical foundation for enabling high performance in intelligent transportation systems. This paper proposes IRN2Vec, an intersection-oriented representation learning model that generates d... read more 

An interpretable vibration-enhanced BRB model for rolling bearing fault diagnosis.

PloS one Mar 13, 2026
The operational condition of rolling bearings is essential to the reliability of industrial machinery, making fault diagnosis a critical research topic. Although deep learning has gained widespread attention in this domain, its black-box character an... read more 

Machine learning driven optimization of biomedical waste ash concrete for sustainable construction.

PloS one Mar 13, 2026
Concrete produced using ash from biomedical waste is a sustainable construction solution that can help reduce the environmental impact associated with cement production. The study develops a database of Biomedical Waste Ash (BMWA) concrete from liter... read more 

Bayesian networks for predicting clinical outcomes in COVID-19 patients: A retrospective study in a resource-limited setting.

PloS one Mar 13, 2026
BACKGROUND: The COVID-19 pandemic has highlighted the critical need for robust, interpretable predictive models to guide clinical decision-making for hospitalized patients, particularly in resource-limited settings. While machine learning approaches ... read more 

From genes to diagnosis: The impact of UNC5B and DOK5 in intracranial aneurysm detection and pathogenesis.

PloS one Mar 13, 2026
OBJECTIVE: Intracranial aneurysms exhibit a notable prevalence within the general population, characterized by an incidence rate ranging from 1% to 2% and an annual rupture rate of approximately 16.4 per 100,000 individuals.Genes that are diagnostic ... read more 

Interpretable machine learning for predicting delays in seeking abortion among reproductive-aged women in Ethiopia: A study using EDHS 2016 data.

PLOS digital health Mar 13, 2026
Delayed access to abortion care in Ethiopia poses significant public health risks, yet it has not been studied using advanced machine learning models with interpretable techniques. This study aims to identify its key predictors through Shapley Additi... read more 

Toward AI foundation models for epidemics: Promise, challenges, and paths forward.

Proceedings of the National Academy of Sciences of the United States of America Mar 13, 2026
Foundation models-large AI systems pretrained on broad, heterogeneous data-are transforming scientific discovery. These models (e.g., GPT, GenCast, AlphaFold) excel at learning generalizable representations and adapting to new tasks with limited data... read more 

DPCNet: A dual path cross perception network for small object detection in UAV imagery.

PloS one Mar 13, 2026
Small object detection in unmanned aerial vehicle imagery is challenged by tiny target scales, dense layouts, and cluttered backgrounds that blur fine details and destabilize multiscale representations. We present DPCNet, a single-stage detector that... read more 

CFGSCDSA: Predicting circRNA-drug sensitivity associations based on collaborative feature learning and graph structure learning.

PLoS computational biology Mar 13, 2026
MOTIVATION: The expression of circular RNAs (circRNAs) has been shown to be strongly correlated with drug sensitivity in human cells. However, experimental validation using wet-lab techniques is costly and inefficient, leaving a substantial portion o... read more 
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