Artificial Intelligence Medical Compendium

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

Showing 40,301 to 40,310 of 223,737 articles

Predicting household cooking fuel choice in sub-Saharan Africa using supervised machine learning analysis of DHS data from 28 countries.

Scientific reports Mar 19, 2026
Approximately 85% of the population in sub-Saharan Africa equating to around 894 million people depend on traditional biomass fuels such as firewood, charcoal, and agricultural waste for their cooking needs. Understanding what shapes cooking fuel cho... read more 

Entropy-regularized dual-stream attention fusion for multi-disease lung classification.

Scientific reports Mar 19, 2026
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AI-based triage and decision support in mammography and digital tomosynthesis for breast cancer screening: a paired, noninferiority trial.

Nature medicine Mar 19, 2026
Artificial intelligence (AI) systems have been demonstrated to improve the accuracy of screening mammograms. Here this prospective, paired, noninferiority clinical trial evaluated whether AI could safely reduce workload by excluding low-risk exams fr... read more 

Real-world unified denoising for multi-organ fast MRI: a large-scale prospective validation.

NPJ digital medicine Mar 19, 2026
Lengthy acquisition time remains a key bottleneck for the widespread use of MRI in clinics. While accelerated MRI can reduce scan duration, it often introduces increased noise, compromising image quality and diagnostic reliability. In this study, we ... read more 

Quantitative assessment of apparent diffusion coefficient for neurological outcome prediction in status epilepticus: a pilot study.

Scientific reports Mar 19, 2026
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A representational framework for learning and encoding structurally enriched trajectories in complex agent environments.

Neural networks : the official journal of the International Neural Network Society Mar 19, 2026
The ability of artificial intelligence agents to make optimal decisions and generalise them to different domains and tasks is compromised in complex scenarios. One way to address this issue has focused on learning efficient representations of the wor... read more 

Development and validation of a CT-based deep learning radiomics model for differentiating parathyroid adenoma from atypical parathyroid tumor/parathyroid carcinoma.

European journal of radiology Mar 19, 2026
BACKGROUND: Accurate preoperative differentiation between parathyroid adenoma (PA) and atypical parathyroid tumor (APT) or parathyroid carcinoma (PC) is essential for individualized treatment. METHODS: This retrospective study included 358 datasets w... read more 

Comparing large language models and human experts in interpreting MRI reports for personalized patient education.

International journal of medical informatics Mar 19, 2026
RATIONALE AND OBJECTIVES: Knee osteoarthritis (OA) is a prevalent global condition. While MRI guides clinical decisions, its technical complexity hinders patient understanding and engagement. Translating these findings into comprehensible, personaliz... read more 

Synergistic flavor enhancement and polycyclic aromatic hydrocarbons inhibition in roasted fish by Perilla-clam/yeast composite extracts: Regulation of Maillard reaction and lipid oxidation pathways.

Food chemistry Mar 19, 2026
Flavor and safety are paramount for the quality of roasted fish. This study investigated the effects of perilla extract (ZS) and its composites with clam (GE) or yeast (YE) extracts on flavor and polycyclic aromatic hydrocarbons (PAHs) in roasted fis... read more 

Structuring large language models for chemical health risk reasoning in environmental and occupational exposure.

Journal of hazardous materials Mar 19, 2026
Large language models (LLMs) have revolutionized numerous scientific fields. However, their application in environmental health remains limited, as they are prone to hallucinations and struggle with reasoning over complex, real-world exposure data. C... read more 
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