Artificial Intelligence Medical Compendium

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

Showing 381 to 390 of 6,574 articles

Identification of CTSK as a TLR-related critical biomarker in liver cirrhosis via integrative bioinformatics and pathological characterization.

Scientific reports Jul 17, 2025
Liver cirrhosis (LC) is a common chronic disease worldwide with a poor prognosis, and its pathogenesis has not been fully elucidated. Toll-like receptors (TLRs) are crucial in LC progression. Here, we identified TLR-related genes, providing novel ins... read more 
Signal Transduction Gene Expression Regulation Humans Toll-Like Receptors Biomarkers Computational Biology Molecular Docking Simulation Liver Cirrhosis Gene Expression Profiling Gene Regulatory Networks

Physics consistent machine learning framework for inverse modeling with applications to ICF capsule implosions.

Scientific reports Jul 17, 2025
In high energy density physics (HEDP) and inertial confinement fusion (ICF), predictive modeling is complicated by uncertainty in parameters that characterize various aspects of the modeled system, such as those characterizing material properties, eq... read more 

Deep learning models for deriving optimised measures of fat and muscle mass from MRI.

Scientific reports Jul 17, 2025
Fat and muscle mass are potential biomarkers of wellbeing and disease in oncology, but clinical measurement methods vary considerably. Here we evaluate the accuracy, precision and ability to track change for multiple deep learning (DL) models that qu... read more 
Middle Aged Deep Learning Image Processing, Computer-Assisted Humans Adult Male Female Adipose Tissue Reproducibility of Results Intra-Abdominal Fat Neural Networks, Computer Magnetic Resonance Imaging Subcutaneous Fat Muscle, Skeletal

Optimal planning of integrated nuclear-hybrid renewable energy systems for electrical distribution networks based on artificial intelligence.

Scientific reports Jul 17, 2025
In recent years, small-scale nuclear power plants, particularly micro nuclear reactors, have emerged as viable alternatives, gaining importance in the technical and economic operation of electrical distribution systems. As consumer demand for electri... read more 

Task based evaluation of sparse view CT reconstruction techniques for intracranial hemorrhage diagnosis using an AI observer model.

Scientific reports Jul 17, 2025
Sparse-view computed tomography (CT) holds promise for reducing radiation exposure and enabling novel system designs. Traditional reconstruction algorithms, including Filtered Backprojection (FBP) and Model-Based Iterative Reconstruction (MBIR), ofte... read more 
Humans Brain Tomography, X-Ray Computed Deep Learning Artificial Intelligence Algorithms Signal-To-Noise Ratio Radiographic Image Interpretation, Computer-Assisted Intracranial Hemorrhages ROC Curve Image Processing, Computer-Assisted

Prognosis of air quality index and air pollution using machine learning techniques.

Scientific reports Jul 17, 2025
Air pollution constitutes a significant challenge for both public health and environmental sustainability. Pollutants like PM, O, NO, SO, and CO cause serious health problems and ecological damage. This study utilizes five machine learning (ML) model... read more 

A novel stochastic approach for reliable design of advanced frugal products.

Scientific reports Jul 16, 2025
Climate change and other crises are putting strict limits on our consumption of energy and resources. Therefore, these constrains need to be integrated into engineering, which is currently prone to wastage, for systematically infusing frugality into ... read more 

New hybrid features extracted from US images for breast cancer classification.

Scientific reports Jul 16, 2025
Artificial intelligence (AI), and image processing fields play a vital role in classifying benign and malignant breast cancer (BC). The novelty of this paper lies in computing original hybrid features (HF) from textural and shape features of BC integ... read more 
Humans Artificial Intelligence Image Processing, Computer-Assisted Ultrasonography, Mammary Female Image Interpretation, Computer-Assisted Machine Learning Algorithms Breast Neoplasms

Image quality and radiation dose of reduced-dose abdominopelvic computed tomography (CT) with silver filter and deep learning reconstruction.

Scientific reports Jul 16, 2025
To assess the image quality and radiation dose between reduced-dose CT with deep learning reconstruction (DLR) using SilverBeam filter and standard dose with iterative reconstruction (IR) in abdominopelvic CT. In total, 182 patients (mean age ± stand... read more 
Pelvis Adult Female Radiographic Image Interpretation, Computer-Assisted Male Humans Deep Learning Aged Abdomen Tomography, X-Ray Computed Image Processing, Computer-Assisted Radiation Dosage Silver Middle Aged Radiography, Abdominal

Automatic segmentation of liver structures in multi-phase MRI using variants of nnU-Net and Swin UNETR.

Scientific reports Jul 16, 2025
Accurate segmentation of the liver parenchyma, portal veins, hepatic veins, and lesions from MRI is important for hepatic disease monitoring and treatment. Multi-phase contrast enhanced imaging is superior in distinguishing hepatic structures compare... read more 
Gadolinium DTPA Portal Vein Hepatic Veins Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Liver Contrast Media Male Middle Aged Humans Female Aged Adult
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