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Medical Imaging

Image: Conceptual overview of the evidential deep learning ensemble framework (Yassine Guennoun et al., npj Digital Medicine, 2026. DOI: 10.1038/s41746-026-02902-0)

Automated AI Tool Enables Uncertainty-Aware Meningioma Volume Tracking on MRI

An AI approach provides calibrated meningioma volumes and voxel-level uncertainty on MRI. More...
26 Aug 2026
Image: The AI system automatically identifies individual vertebrae, outlines their shapes, and calculates spinal curvature from X-ray images. (Photo courtesy of National Taiwan University)

AI Analyzes Spinal X-Rays to Standardize Scoliosis Assessment

An AI approach automates scoliosis measurements on X-rays, improving consistency and matching clinician agreement across sites. More...
24 Aug 2026
Image: In this example, three tumor-delineation methods yield different tumor-volume estimates from the same clinical image. Without knowing the true tumor volume, it is difficult to determine which method among these performs best. The proposed NGSE-Corr technique provides a way to compare such methods without requiring knowledge of the true value. (Image Credit: Jha lab/WashU)

Imaging Precision Tool Enables Method Comparison Without Ground-Truth Data

A new framework ranks quantitative imaging methods by precision without a gold standard, aiding clinical tool selection. More...
24 Aug 2026
Image: EWI imaging of a 22-year-old female patient with mitral valve prolapse and an abnormal heart rhythm ((Melina Tourni et al., Proceedings of the National Academy of Sciences, 2026. DOI: 10.1073/pnas.2503559123)

Ultrasound Technique Enables Arrhythmia Risk Assessment in Mitral Valve Disease

An ultrasound-based EWI method maps hidden electromechanical delays in mitral disease, enabling early arrhythmia risk detection. More...
21 Aug 2026
Image: The MRI-derived “brain age” metric offers a sensitive, automated measure that could complement existing visual scales for earlier risk stratification (Stefan De Vries et al., Neurology (2026). DOI: 10.1212/wnl.0000000000218418)

AI-Derived Brain Age from MRI Predicts Future Dementia Risk

An AI approach estimates MRI-derived brain age to better predict dementia progression beyond visual ratings. More...
21 Aug 2026
Image: A 3D view of the brain shows white matter pathways (multicolored fibers) connecting regions involved in bladder control, identified through urodynamic functional MRI (red and yellow). Researchers will examine how stroke damages this communication network and whether the resulting patterns can help predict response to treatment. (Photo courtesy of Stevens INI)

Imaging Biomarkers Aim to Personalize Treatment for Post-Stroke Bladder Dysfunction

A brain imaging-guided study seeks biomarkers to predict spinal cord stimulation benefit and personalize post-stroke bladder care. More...
18 Aug 2026
Overview of INR-DR. The framework alternates between CT physics-based data-fidelity optimization and diffusion-based image-prior regularization (Photo courtesy of Higher Education Press)

New AI Method Improves CT Images by Reducing Metal Artifacts

An unsupervised AI approach reduces CT metal artifacts and preserves tissue detail using diffusion priors without paired data. More...
13 Aug 2026
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The Medical Imaging channel of HospiMedica deals with Radiography, MRI, Ultrasound, Nuclear Medicine, and similar items.
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