We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us

Download Mobile App




Image: Hyperfine’s Swoop platform is a portable, ultra-low-field MRI system that is FDA-cleard for brain imaging in patients of all ages (photo courtesy of Hyperfine)

Portable MRI System Accelerates Emergency Brain Imaging and Supports Triage

An AI-powered portable MRI enables bedside brain scans, significantly reducing ED order-to-scan time. More...
28 May 2026
Image: By training the AI with simulations, researchers can reconstruct brain images with high precision using only one-tenth of the data typically required in magnetic resonance imaging. The image shows a metric known as “fractional anisotropy”—an index of myelination—obtained using conventional methods and with the new approach (Photo courtesy of Instituto de Neurociencias UMH CSIC)

AI Approach Could Shorten Advanced Brain MRI Scans by Up to 90%

An AI approach trained on diffusion physics simulations infers tissue biomarkers from 10% data, cutting MRI time by up to 90%. More...
28 May 2026
Image: Representative cine-CMR four-chamber image demonstrating severe tricuspid regurgitation (Photo courtesy of Dr. Robert Zhang)

Cardiac MRI Measure Improves Risk Prediction in Tricuspid Regurgitation

A new MRI-derived effective RV ejection fraction improves mortality prediction and risk assessment in tricuspid regurgitation. More...
26 May 2026
Image: The visual encoder processes sequences of CMR images and the text encoder processes the text from the “impression” section of the corresponding reports (Nakashima, M., Qiu, J., Huang, P. et al.  Nature Communications(2026). https://doi.org/10.1038/s41467-026-73022-2)

AI System Improves Accuracy of Cardiac MRI Interpretation

An AI approach outperforms general-purpose models by up to 35% and enables zero-shot detection of cardiac MRI abnormalities. More...
26 May 2026
MedMAE linear probing workflow on the downstream task for CVD risk predictions (Isha Shah et al., Radiotherapy and Oncology (2026). DOI: 10.1016/j.radonc.2026.111455)

Multimodal AI Tool Combines CT and Health Records to Predict Heart Risk

An AI approach fusing planning CT and EHRs outperforms methods for cardiovascular risk prediction in breast cancer radiotherapy. More...
26 May 2026
Image: A multitask deep learning model uses a single baseline MRI scan and demographic data to predict cognitive scores without baseline cognitive testing (image credit: 123RF)

Deep Learning Model Predicts Alzheimer’s Disease Outcomes from Baseline MRI

An AI approach estimates Alzheimer’s diagnosis and future cognition from a single MRI. More...
22 May 2026
Image: A multinational study reports that AI can quickly generate clinically acceptable radiotherapy plans across care settings (Photo courtesy of Adobe Stock)

AI Tool Automates Radiotherapy Planning for Cervical and Prostate Cancer

An AI approach produces clinically acceptable radiotherapy plans, cutting turnaround to 1 hour for cervical and prostate cancers. More...
22 May 2026
Mobile X-Ray System
K4W
Portable X-ray Unit
AJEX140H
Biopsy Software
Affirm® Contrast
Breast Localization System
MAMMOREP LOOP
Copyright © 2000-2026 Globetech Media. All rights reserved.