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Image: Schematic diagram of applying the SAVES method (right side) compared to the classical approach (R Zhang et al., Journal of Intensive Medicine (2025). DOI: 10.1016/j.ultrasmedbio.2025.03.00489)

New Ultrasound Technique Enables Safer Vein Access in Critically Ill Patient

A new ultrasound technique has shown promise for safer vein access in critically ill patients. More...
18 Sep 2025
Image: The novel approach combining MRI, fluid dynamics, and custom algorithms predicts brain cancer recurrence sites (photo courtesy of AdobeStock)

Novel Method Uses Interstitial Fluid Flow to Predict Where Brain Tumor Can Grow Next

A novel method identifies where brain cancer will recur based on fluid moving through and near the tumor. More...
16 Sep 2025
Image: The Angio-CT solution integrates the latest advances in interventional imaging (Photo courtesy of Canon Medical)

Cutting-Edge Angio-CT Solution Offers New Therapeutic Possibilities

A next-gen solution integrates angiography and CT into one suite for faster, safer, and more effective care. More...
15 Sep 2025
Image: The Angio-CT solution integrates the latest advances in interventional imaging (Photo courtesy of Canon Medical)

Cutting-Edge Angio-CT Solution Offers New Therapeutic Possibilities

A next-gen solution integrates angiography and CT into one suite for faster, safer, and more effective care. More...
15 Sep 2025
Image: Perovskite crystal boules are grown in carefully controlled conditions from the melt (Photo courtesy of Mercouri Kanatzidis/Northwestern University)

New Camera Sees Inside Human Body for Enhanced Scanning and Diagnosis

A new detector promises to lower the cost and increase the quality of nuclear medicine. More...
11 Sep 2025
Image: Dr. Luciano Sposato (left) and Dr. Rodrigo Bagur (right) reviewing a patient scan (Photo courtesy of Rena Panchyshyn/LHSC)

Extending CT Imaging Detects Hidden Blood Clots in Stroke Patients

An innovative diagnostic approach can improve the detection of hidden blood clots responsible for strokes. More...
08 Sep 2025
Image: Patch-based deep-learning model with limited training dataset for liver tumor segmentation in contrast-enhanced hepatic CT (Yang et al. (2025), IEEE Access, 10.1109/ACCESS.2025.3570728)

Groundbreaking AI Model Accurately Segments Liver Tumors from CT Scans

A deep-learning model delivers high accuracy in liver tumor segmentation with a limited training dataset. More...
02 Sep 2025
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