Artificial Intelligence Medical Compendium

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

Showing 47,191 to 47,200 of 224,199 articles

Topological control of spontaneous failure in active nematic solids.

Nature materials Feb 25, 2026
Active solids using energy influx to generate non-equilibrium forces undergo spontaneous mechanical failure, but how topological defects concentrate internal stresses and control breakage in active materials is unknown. Here we assemble a reconstitut... read more 

AI-powered non-destructive testing for smart manufacturing of carbon-negative biopolymer-bound soil composite.

Communications engineering Feb 25, 2026
Biopolymer-bound soil composite (BSC) is a materials technology that uses nature-based polymers to form carbon-negative building materials that are as strong as concrete. For large-scale applications of this material, a quality control system is nece... read more 

CO2-driven biosurfactant synthesis by bacteria within CCUS.

Applied microbiology and biotechnology Feb 25, 2026
Microbial CO2 capture coupled with biosurfactant production represents a promising strategy for greenhouse gas mitigation and sustainable biomanufacturing. This review examines the metabolic and engineering aspects of microbial carbon capture, focusi... read more 

GlucoseGo: a simple tool to predict hypoglycaemia during exercise in type 1 diabetes.

Diabetologia Feb 25, 2026
AIMS/HYPOTHESIS: This study aimed to develop an accessible tool, derived using machine learning, to predict hypoglycaemia risk at the start of exercise and to provide clear, rapid risk assessment to support safer participation in exercise. METHODS: D... read more 

De-identification Strategy and Re-identification Risks for Facial Computed Tomography Images via Deep Learning.

Journal of imaging informatics in medicine Feb 25, 2026
The aim is to develop and evaluate a deep learning-based selective de-identification method for head computed tomography (CT) images that removes facial soft-tissue features while preserving facial bone structures, and to assess the re-identification... read more 

Deep Learning-Based Prediction of Visual Field Mean Deviation from Numeric OCT Data in Glaucoma.

Journal of imaging informatics in medicine Feb 25, 2026
The purpose is to evaluate whether numeric optical coherence tomography (OCT) data can predict Humphrey Visual Field Analyzer (HFA) 30-2 mean deviation (MD) using deep learning (DL). In this retrospective study, 1200 eyes (432 glaucoma and 768 normal... read more 

A Novel Hybrid Large Language Model Approach for Reporting Panoramic Radiographs and Performance Comparison with Current Large Language Models.

Journal of imaging informatics in medicine Feb 25, 2026
Large language models (LLMs) show potential in clinical reporting, yet current multimodal systems remain unreliable for interpreting panoramic radiographs due to limited visual diagnostic accuracy and high hallucination rates. This study introduces a... read more 

Artificial Intelligence and CT Neuroimaging in Dementia and Psychotic Disorders: A Viewpoint.

Journal of imaging informatics in medicine Feb 25, 2026
Psychotic disorders are marked by heterogeneity in symptoms and treatment response, yet efforts to develop clinically useful predictive models through neuroimaging have been limited. Although MRI is gold standard for neuroimaging in psychosis, CT is ... read more 

Correction: A Deep-Learning Approach for Vocal Fold Pose Estimation in Videoendoscopy.

Journal of imaging informatics in medicine Feb 25, 2026
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Optimizing renal mass histology prediction with artificial intelligence using handcrafted radiomics.

World journal of urology Feb 25, 2026
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