Artificial Intelligence Medical Compendium

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

Showing 451 to 460 of 200,021 articles

Toward decision-grade interpretability in melting-transition modeling: integrating uncertainty, applicability domains, activity cliffs, and reproducibility in molecular machine learning.

Journal of molecular modeling Jun 3, 2026
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A systematic review of molecular signaling in the muscle-brain-gut axis: exercise-induced myokines and microbial metabolites as key mediators.

Molecular biology reports Jun 3, 2026
Exercise physiology is evolving from an organ-based framework toward a systems-level understanding, where molecular interactions between muscle, brain, and the gut microbiome critically influence performance and health. This review systematically exa... read more 

The use of logic for machine learning models in sepsis.

Intensive care medicine experimental Jun 3, 2026
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Machine Learning-Assisted KCl-CaCl2-LiCl Electrolyte Design for Low-Temperature, High-Performance Calcium-Based Liquid Metal Batteries.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Jun 3, 2026
Calcium-based liquid metal batteries are promising for large-scale energy storage due to calcium abundance and low cost, yet their practical applications are impeded by high operating temperatures, severe self-discharge, limited coulombic efficiency,... read more 

pedQTNet: A Deep Learning Approach to Estimate Corrected QT Intervals from Multi-Lead Conventional ECG Waveforms in Pediatric Patients.

Journal of medical systems Jun 3, 2026
Long QT syndrome (LQTS) is a primary risk factor for ventricular arrhythmias and sudden cardiac death in children. Accurate corrected QT intervals (QTc) measurement is imperative but challenging for non-heart-rhythm specialists, especially in childre... read more 

Frequency disentanglement with State space gating network for medical image segmentation.

Medical & biological engineering & computing Jun 3, 2026
Precise automated segmentation of anatomical structures is a prerequisite for computer-aided diagnosis, radiotherapy planning, and quantitative medical analysis. However, existing models, whether based on convolutional neural networks (CNN) or transf... read more 

Dnq-unet: a two-level fusion framework for few-shot domain adaptation in cervical cancer CTV segmentation.

Radiological physics and technology Jun 3, 2026
To develop and validate a two-level hierarchical fusion architecture enabling efficient few-shot domain adaptation for cervical cancer clinical target volume (CTV) auto-segmentation across different institutional imaging and contouring settings. We p... read more 

Low-kVp techniques for radiation dose optimization in abdominopelvic contrast-enhanced CT: a scoping review.

Radiological physics and technology Jun 3, 2026
Contrast-enhanced computed tomography (CECT) of the abdomen and pelvis is widely used for diagnostic imaging but contributes substantially to cumulative medical radiation exposure. Low tube voltage (kVp) imaging has gained attention as a practical st... read more 

Comparison of DVH-based machine learning and 3D convolutional neural network approaches for automated VMAT planning in head and neck cancer.

Radiological physics and technology Jun 3, 2026
This study compared a dose-volume histogram-based machine learning (ML) approach with a three-dimensional dose distribution-based convolutional neural network (CNN) approach for volumetric-modulated arc therapy planning in head and neck cancer (HNC).... read more 

NphosNet: Predicting Protein N-Phosphorylation Sites via xLSTM and Enhanced PLM Features with a Weighted Three-Channel Cross-Attention Mechanism.

Interdisciplinary sciences, computational life sciences Jun 3, 2026
Protein phosphorylation, a pivotal post-translational modification mechanism, plays essential roles in cellular signaling and disease regulation. While O-phosphorylation has been extensively investigated, the biological significance of N-phosphorylat... read more 
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