Artificial Intelligence Medical Compendium

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

Showing 43,101 to 43,110 of 223,853 articles

Adherence to guidelines, pitfalls, and emerging technologies in endoscopic practice for celiac disease: a nationwide SIGENP survey.

European journal of pediatrics Mar 10, 2026
UNLABELLED: Upper gastrointestinal endoscopy (UGIE) with duodenal biopsies remains the gold standard for diagnosing celiac disease (CD) in children and adolescents. Despite clear guidelines, clinical practices may vary across centers. This self-repor... read more 

Accurate water quality assessment using IoNT-enabled deep learning frameworks.

Scientific reports Mar 10, 2026
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Comment on "AI-Based Quantitative and Objective Analysis of Aesthetic Results in Genioplasty".

Aesthetic plastic surgery Mar 10, 2026
This study examines the clinical and methodological implications of artificial intelligence-based aesthetic assessment in genioplasty. Key issues include the limitations of two-dimensional imaging for three-dimensional skeletal procedures, interpreta... read more 

Dual-band graphene-assisted metamaterial absorber with machine learning integration for high-sensitivity THz biosensing.

Scientific reports Mar 10, 2026
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Hybrid intelligence-powered secure clustering with trust-optimized routing for next-generation MANET communication.

Scientific reports Mar 10, 2026
Mobile Ad Hoc Networks (MANETs) are highly dynamic and resource-constrained systems in which the resourceful maintenance of secure, energy-efficient, and trustworthy communication is challenging owing to frequent changes in topologies and highly mali... read more 

Towards fully automated synthetic ECV quantification: an open-access machine learning-based approach for fast blood draw-free CMR.

Scientific reports Mar 10, 2026
Extracellular volume (ECV) quantification involves time-consuming multi-step post-processing and a blood draw for hematocrit analysis. This study aimed to develop a fully automated blood draw-free, machine learning-based approach for synthetic ECV as... read more 

Deep learning-based in silico labeling for analyzing morphological features of MSCs to predict immunomodulatory capacity.

Communications biology Mar 10, 2026
Cellular morphology, a critical manifestation of biological characteristics, is linked to functions. In traditional cell detection, invasive labeling and detection methods not only compromise cellular viability but also entail labor-intensive workflo... read more 

A spiking neural network inspired by neuroscience and psychology for Western mode- and key-conditioned music learning and composition.

Scientific reports Mar 10, 2026
Musical mode is a fundamental element of tonal music, structuring pitch organization and shaping tonal relationships. Existing artificial intelligence approaches to symbolic music generation often rely on rigid alignment strategies and simplified ton... read more 

Integrated experimental, machine learning, and life-cycle assessment of fly ash-silica fume based self-compacting geopolymer concrete.

Scientific reports Mar 10, 2026
This study investigates the performance of self-compacting geopolymer concrete (SCGC) incorporating fly ash (FA) and silica fume (SF) as aluminosilicate precursors, with emphasis on mechanical behaviour, durability, microstructural characteristics, e... read more 

Interpretable predictive model for listed companies ESG greenwashing based on XGBoost and SHAP.

Scientific reports Mar 10, 2026
The prediction of ESG greenwashing among listed companies is crucial for ex-ante control of deceptive ESG information disclosures by companies and for early warning of ESG investment risks. Machine learning techniques are commonly used to predict cor... read more 
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