Artificial Intelligence Medical Compendium

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

Showing 53,101 to 53,110 of 225,548 articles

Evaluation and application of electrocardiographic age model for children.

Scientific reports Feb 6, 2026
ECG-age, derived from ECG signals using deep neural networks (DNNs), correlates with health status but has been predominantly studied in adults, neglecting the unique development trajectories of pediatric hearts. This study evaluates and proposes a p... read more 

STAR (stroma-tumor AI risk) assessment: association of AI-derived tumor-stroma proportion with patient survival provides added prognostic value beyond KELIM in epithelial ovarian cancer.

BJC reports Feb 6, 2026
BACKGROUND: There remains a critical need for prognostic biomarkers of treatment response in epithelial ovarian cancer (EOC). The KELIM score, derived from the rate of CA-125 elimination during the first 100 days of treatment, is a clinically availab... read more 

DeCon-Net: decoupled hierarchical contrast for soccer object detection.

Scientific reports Feb 6, 2026
Soccer video analysis has significant application value in sports broadcasting, tactical research, and athlete training, with accurate object detection serving as the key foundation for automated analysis. Soccer object detection typically improves p... read more 

Development of deep learning model to screen for primary open-angle glaucoma in African ancestry individuals.

NPJ digital medicine Feb 6, 2026
Primary open-angle glaucoma (POAG) screening using artificial intelligence (AI) has emerged as a transformative method to identify undiagnosed disease. African ancestry individuals are under-represented in current datasets for AI models, despite bein... read more 

xGNN4MI: explainability of graph neural networks in 12-lead electrocardiography for cardiovascular disease classification.

NPJ digital medicine Feb 6, 2026
The clinical deployment of artificial intelligence (AI) solutions for assessing cardiovascular disease (CVD) risk in 12-lead electrocardiography (ECG) is hindered by limitations in interpretability and explainability. To address this, we present xGNN... read more 

Exploring teacher-student interaction through multimodal large language models: an empirical investigation.

Scientific reports Feb 6, 2026
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Correction: Experimental and machine learning-based analysis of red mud influence on recycled aggregate concrete properties.

Scientific reports Feb 6, 2026
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Validation of a machine-learning-based algorithm to predict preeclampsia-related adverse outcomes on a real-world dataset.

Archives of gynecology and obstetrics Feb 6, 2026
PURPOSE: Preeclampsia is a major obstetric disorder. Machine learning (ML) models incorporating angiogenic biomarkers show promise in predicting related adverse outcomes, but refinement is needed for clinical use. This study aimed to reduce features ... read more 

Evaluating AI-powered learning assistants in engineering higher education with implications for student engagement, ethics, and policy.

Scientific reports Feb 6, 2026
As generative AI becomes increasingly integrated into higher education, understanding how students engage with these technologies is essential for responsible adoption. This study evaluates the Educational AI Hub, an AI-powered learning framework, im... read more 

Physics constrained graph neural network for real time prediction of intracranial aneurysm hemodynamics.

NPJ digital medicine Feb 6, 2026
Intracranial aneurysms (IAs) are life-threatening vascular conditions requiring accurate risk assessment to guide treatment. Hemodynamic biomarkers such as wall shear stress and oscillatory shear index are promising predictors of rupture risk but rem... read more 
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