Artificial Intelligence Medical Compendium

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

Showing 46,851 to 46,860 of 224,199 articles

Integrated pixel-wise remote sensing and explainable machine learning for natural hydrogen exploration in southeastern part of Pricaspian Basin, Western Kazakhstan.

Scientific reports Feb 26, 2026
Natural hydrogen (H2) emerges as a clean energy resource generated by different geological processes in multiple geological contexts. Current hydrogen exploration activities rely mainly on surface geochemical surveys focused on diagnostic morphologic... read more 

Predicting rates of cognitive and functional decline in Alzheimer's disease and mild cognitive impairment.

Communications medicine Feb 26, 2026
BACKGROUND: The global population of People Living with Dementia (PLWD) is expected to grow rapidly in the coming decades, increasing the need for personalised, generalisable, and scalable prognosis and care planning support. However, current prognos... read more 

Patient perspective on large-language model responses to questions about Moyamoya.

Acta neurochirurgica Feb 26, 2026
PURPOSE: Large Language Models (LLMs) are widely used and accessible. We investigate whether publicly available LLMs provide useful, safe, helpful and accurate information to the non-expert general community seeking answers about moyamoya. METHODS: C... read more 

Evaluation of standard, black-box, and bayesian RSM-SVR models in the semi-arid area of south-eastern Iran for predicting soil chemical properties.

Scientific reports Feb 26, 2026
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A device-invariant multi-modal learning framework for respiratory disease classification.

NPJ digital medicine Feb 26, 2026
Recent advances in cough sound analysis using deep learning techniques enable smartphone-based respiratory disease screening suitable for self-management care in a home setting, yet their utility is limited by device heterogeneity, population diversi... read more 

Explainable deep learning framework incorporating medical knowledge for insulin titration in diabetes.

Communications medicine Feb 26, 2026
BACKGROUND: Deep learning has shown promise in diabetes management but faces challenges in real-world application due to its "black-box" nature, characterized by opaque internal decision-making processes. Explainable artificial intelligence (XAI) met... read more 

Legal and ethical considerations of artificial intelligence for trainees.

BJU international Feb 26, 2026
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The Clinical Utility of Three-Dimensional Liver Modelling: A Multicenter Survey.

Journal of imaging informatics in medicine Feb 26, 2026
Pre-operative planning for complex liver surgery is constrained by 2D CT/MRI. Digital 3D liver models (3DL-RL) may improve decision-making, but multicenter evidence on decision-level effects and inter-surgeon variability is limited. A multicenter, ca... read more 

Open-Access Fully Automated Intravenous Contrast Detection and Body Part Classification for Computed Tomography Scans: The FALCON Model.

Journal of imaging informatics in medicine Feb 26, 2026
Presence of intravenous contrast on computed tomography (CT) scans is often unreliably documented, especially in large research datasets. FALCON is an open-access fully automated deep learning model enabling large-scale intravenous contrast detection... read more 

An Effective Breast Cancer Classification System Using Multiple Feature Extraction Techniques with Multi-scale Attention-Based Feature Fusion Model.

Journal of imaging informatics in medicine Feb 26, 2026
Breast cancer ranks as the second leading cause of death in women. Early identification of breast cancer can significantly reduce women's mortality rates. Due to the time-consuming nature of manual breast cancer diagnosis, an automated system is nece... read more 
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