Artificial Intelligence Medical Compendium

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

Showing 64,651 to 64,660 of 231,605 articles

LatentZoom: Seamless Scaling in Generative Latent Space for Visual Exploration of Local Performance in Deep Neural Networks.

IEEE transactions on visualization and computer graphics Jan 14, 2026
Deep Neural Network (DNN) evaluation is a classic topic in machine learning. Unlike existing methods that assess a DNN's general performance on pre-collected real-world data, we propose an approach to exploring a DNN's local performance on generated ... read more 

Open Set Domain Adaptation via Known Joint Distribution Matching and Unknown Classification Risk Reformulation.

IEEE transactions on neural networks and learning systems Jan 14, 2026
Open set domain adaptation (OSDA) is an important problem in machine learning and computer vision. In OSDA, one is given a labeled dataset from a source domain (source joint distribution) and an unlabeled dataset from a target domain (target joint di... read more 

Robust Physics-Based Deep MRI Reconstruction via Diffusion Purification.

IEEE transactions on neural networks and learning systems Jan 14, 2026
Deep learning (DL) supervised techniques have been extensively employed in magnetic resonance imaging (MRI) reconstruction, delivering notable performance enhancements over traditional non-DL methods. Nonetheless, these models have vulnerabilities du... read more 

Systematic Review on Deep Learning Algorithms for Blood Glucose Forecasting in Type 1 Diabetes.

IEEE journal of biomedical and health informatics Jan 14, 2026
Type 1 Diabetes (T1D) is a chronic metabolic disease characterized by elevated blood glucose (BG) concentrations, resulting from the immune-mediated destruction of insulin-producing $\beta$-cells in the pancreas. Effective management of T1D greatly b... read more 

Research on cross-regional adaptation strategies for AI-enabled teaching devices from an educational equity perspective.

PloS one Jan 14, 2026
This study investigates the impact of AI-enabled teaching devices on educational equity, focusing on the differences in their effectiveness between economically developed and underdeveloped regions in China, particularly along the Hu Huanyong Line. T... read more 

Uncertainty Quantification in Molecular Machine Learning for Property Predictions under Data Shifts.

Journal of chemical information and modeling Jan 14, 2026
Drug discovery and medicinal chemistry efforts are increasingly influenced by machine learning (ML), with compound property prediction as a central application. ML models have demonstrated strong performance in predicting various compound properties ... read more 

Observations of marine animal interactions with a small tidal turbine.

PloS one Jan 14, 2026
The risk of collisions between animals and operating tidal turbines remains a concern in the scientific and regulatory communities. A sensor package including optical cameras was deployed to monitor animal interactions with a small-scale (1 m2) cross... read more 

Peak strain dispersion as a nonlinear mediator in HFpEF: Unraveling subtype-specific pathways via SHAP-augmented ensemble modeling.

PLoS computational biology Jan 14, 2026
BACKGROUND: Heart failure with preserved ejection fraction (HFpEF) represents a heterogeneous syndrome with diverse pathophysiological mechanisms and limited therapeutic options. Peak strain dispersion (PSD) has emerged as a potential mediator in HFp... read more 

A Case-Based Explainable Graph Neural Network Framework for Mechanistic Drug Repositioning.

Bioinformatics (Oxford, England) Jan 14, 2026
Drug repositioning offers a cost-effective alternative to traditional drug development by identifying new uses for existing drugs. Recent advances leverage Graph Neural Networks (GNN) to model complex biological data, showing promise in predicting no... read more 

Transforming scholarly landscapes: The influence of large language models on academic fields beyond computer science.

PloS one Jan 14, 2026
Large Language Models (LLMs) have ushered in a transformative era in Natural Language Processing (NLP), reshaping research and extending NLP's influence to other fields of study. However, there is little to no work examining the degree to which LLMs ... read more 
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