Artificial Intelligence Medical Compendium

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

Showing 24,631 to 24,640 of 217,425 articles

Using machine learning to identify the most important predictors of fatty liver index in healthy young Taiwanese men.

Scientific reports Apr 29, 2026
Nonalcoholic fatty liver disease (NAFLD) is the most common chronic liver disease worldwide. While many factors have been associated with NAFLD, their relative importance in healthy young populations remains unclear. In this study, we enrolled 7,037 ... read more 

Patient-Specific Constitutive Models Based on Biaxial and Microstructural Characterisation of Fresh Human Gastric Tissue.

Annals of biomedical engineering Apr 29, 2026
PURPOSE: As obesity has reached pandemic proportions worldwide, improving technical solutions for its treatment requires robust planning and numerical modelling. Yet existing material models obtained from biaxial tensile test are scarce and based onl... read more 

Deep learning-based breast cancer detection with customized ensemble attention.

Scientific reports Apr 29, 2026
Breast cancer remains one of the leading malignancies globally, and accurate diagnostic decisions at the early stages of the disease can significantly improve patient prognosis. This paper introduces a new ensemble deep learning framework, combining ... read more 

Construction and validation of a glycosylation-related diagnostic model and immune characterization in lupus nephritis.

Clinical rheumatology Apr 29, 2026
BACKGROUND: As a critical hallmark of systemic lupus erythematosus, lupus nephritis (LN) stands as a major organ-threatening condition driven by sophisticated immunological imbalances. Aberrant glycosylation has been implicated in autoimmune pathogen... read more 

The effect of human ratings reliability on machine learning model performance: a case study in infant pain assessment.

Scientific reports Apr 29, 2026
Human-annotated data is foundational for supervised machine learning (ML). Low inter-rater reliability often introduces noise that degrades model performance. This study investigates how human rating reliability and panel size impact ML efficacy, and... read more 

An advanced hybrid deep learning framework for high-precision brain tumor detection and classification in MRI scans.

Scientific reports Apr 29, 2026
Early and accurate identification of brain tumors from magnetic resonance imaging (MRI) is essential for timely clinical intervention; however, manual interpretation remains time-consuming and dependent on expert analysis. The study proposes MultiAtt... read more 

Comparing manual and automated methods for extracting perihematomal features in predicting hemorrhage expansion in deep intracerebral hemorrhage.

Scientific reports Apr 29, 2026
read more 

Assessment and optimisation of regional scale wind farm deployment using machine learning.

Communications engineering Apr 29, 2026
The impact of inter-farm wakes is a growing issue as offshore wind is scaled up to meet renewable energy needs. High-fidelity simulations which capture such wake effects under potential future build-out scenarios are required to enable regional-scale... read more 

Accurate predictive model of band gap with selected important features based on explainable machine learning.

Scientific reports Apr 29, 2026
In the rapidly advancing field of materials informatics, nonlinear machine learning models have demonstrated exceptional predictive capabilities for material properties. However, their black-box nature limits interpretability, and they may incorporat... read more 

An agentic framework for autonomous scientific discovery in cancer pathology.

Nature medicine Apr 29, 2026
Artificial intelligence has advanced cancer pathology, but many systems still depend on hand-crafted features, are hard to explain and rely on fragmented workflows. We introduce SPARK (System of Pathology Agents for Research and Knowledge), a foundat... read more 
Popular Topics
Recent Journals