AI Reads Brain Scan Sequences to Spot Alzheimer’s With New Hybrid Model
Researchers in India combined EfficientNet-B0 and a transformer encoder to classify Alzheimer's disease from multi-slice MRI scans, achieving 88 percent ...
Tag: Medical Imaging
New AI Architecture Sharpens Breast Tumor Detection Across Four Imaging Modalities
Researchers have developed a Swin Transformer-based U-Net with a novel SECA cross-attention decoder that improves breast tumor segmentation accuracy across ...
Spectral CT Muscle and Tissue Measures Predict Survival After Junctional Cancer Surgery
A new study shows that combining spectral CT-derived extracellular volume and skeletal muscle index with CEA and tumor stage improves ...
Two new US patents widen Ultrasound AI’s reach from pregnancy imaging to drug detection
Ultrasound AI received two new US patents in September 2026 covering AI-based drug-exposure detection and comprehensive imaging-based medical assessment, expanding ...
AI Reads Ultrasound Signals to Predict Which Carotid Plaques May Trigger Stroke
A prospective study shows that a random forest model combining shear wave elastography, contrast-enhanced ultrasound and clinical factors can predict ...
Explainable AI Opens the Black Box of Low-Dose CT Image Reconstruction
Researchers in Vietnam have developed U-NetL2O, an explainable learning-to-optimize framework that embeds a U-Net into an unrolled ADMM scheme to ...
Deep Learning in Medicine Hits a Wall: Explainability and Privacy Are Locked in Tension
A new review of 61 studies reveals that the explainability and privacy protections required for trustworthy medical and biometric deep ...
AI Plans Safer Needle Paths for Lung Biopsies, Feasibility Study Finds
A Memorial Sloan Kettering feasibility study found that ChatGPT-4 could plan CT-guided lung biopsy trajectories that were safe in 93 ...
Shortened Liver MRI Protocol Shows Strong Accuracy for Spotting Tumor Return After Ablation
A two-sequence abbreviated MRI protocol using hepatobiliary phase imaging detected recurrent hepatocellular carcinoma after microwave ablation with 87.5 percent sensitivity ...
AI Diffusion Models Erase Truncation Artifacts from Cone-Beam CT Scans
Researchers have used conditional generative diffusion models to complete truncated X-ray projection data, substantially reducing artifacts in cone-beam CT reconstructions.
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Mothers who receive childcare support from maternal grandparents show more parental warmth, finds NTU Singapore study
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University of Seville Breaks 120-Year-Old Mystery, Revises a Key Einstein Concept
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Bee body mass, pathogens and local climate influence heat tolerance
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Researchers record first-ever images and data of a shark experiencing a boat strike
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Groundbreaking Clinical Trial Reveals Lubiprostone Enhances Kidney Function
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