Artificial Intelligence Medical Compendium

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

Showing 43,661 to 43,670 of 224,055 articles

plotXVG: Batch Generation of Publication-Quality Graphs from GROMACS Output.

Journal of chemical information and modeling Mar 9, 2026
Molecular simulation tools, such as GROMACS, are used routinely to produce time series of energies and other observables. To turn these data into publication-quality figures, a user can either use a (commercial) software package with a graphical user... read more 

Identifying Predictors of Early Treatment Intensification in Individuals With Type 2 Diabetes Treated With GLP-1 Receptor Agonists: A Machine Learning-Based Analysis of a Large Real World Cohort.

Diabetes, obesity & metabolism Mar 9, 2026
AIMS: Despite the proven efficacy of GLP-1 receptor agonists (GLP-1 RAs), many patients with type 2 diabetes (T2DM) are not able to achieve glycaemic targets with these agents and they require additional therapies. Timely identification of individual... read more 

Classification and Reporting of Breast Arterial Calcifications: Current State and Ongoing Challenges.

Journal of breast imaging Mar 9, 2026
Cardiovascular disease (CVD) remains the leading cause of death among women globally, with significant mortality and poorer outcomes compared with men. Traditional CVD risk assessment methods are less effective for women in part due to a lack of cons... read more 

Artificial intelligence-based quantification of breast arterial calcifications to predict cardiovascular morbidity and mortality.

European heart journal Mar 9, 2026
BACKGROUND AND AIMS: Women are underdiagnosed and undertreated for cardiovascular disease (CVD). Automatic quantification of breast arterial calcification (BAC) on screening mammography can identify women at risk for CVD. This study aimed to determin... read more 

Machine learning in the analysis of mental health at work: a scoping review.

Journal of occupational health Mar 9, 2026
OBJECTIVES: This scoping review aims to assess the role of machine learning in workplace mental health research by systematically analyzing existing studies to understand current methodologies, applications, and trends. METHODS: We conducted a compre... read more 

Upconversion optical entropy encoding for infrared complex-amplitude imaging.

Light, science & applications Mar 9, 2026
Upconversion detection of infrared radiation by cost-effective silicon photodetectors in visible bands has spurred a revolution in infrared imaging technology, unlocking a wide range of applications in biological imaging, optical spectroscopy, and op... read more 

Optimizing renewable energy investments using artificial intelligence-based multi-facet fuzzy decision models.

Scientific reports Mar 9, 2026
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Environmental education as a means of combating growing environmental pollution: an optimized- explainable artificial intelligence (XAI) approach.

Scientific reports Mar 9, 2026
This work aimed at the use and understanding the impact of education in solving the growing environmental pollution and radiation exposure, which are both attributed to natural phenomena and human activities. It's a case study of two different univer... read more 

PS-SNN: pattern separation learning for expandable spiking neural networks in class-incremental learning.

Scientific reports Mar 9, 2026
Biological brains mitigate interference by orthogonalizing neural representations of similar memories, thereby preserving stability across tasks in continual learning. However, most existing continual learning approaches for spiking neural networks (... read more 

Prescription‑dose stratification improves deep learning‑based VMAT dose prediction in locally advanced NSCLC.

Scientific reports Mar 9, 2026
Volumetric-modulated arc therapy (VMAT) planning for locally advanced non-small cell lung cancer (NSCLC) is an iterative and planner-dependent process that often requires multiple optimization cycles to balance target coverage and organ‑at‑risk (OAR)... read more 
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