Imaging Informatics

Hinton acknowledges mistake in predicting AI replacement of radiologists
By AuntMinnie.com staff writers
AI pioneer Geoffrey Hinton, PhD, has a new prediction for AI in radiology.
May 14, 2025
Chat Gpt Artificial Intelligence Ai Head
ISMRM: AI spots ischemic heart disease on low GBCA dose images
By Erik L. Ridley
An AI-based framework was highly accurate for detecting myocardial ischemia, even on images acquired with 90% less gadolinium.
May 14, 2025
Representative stress perfusion CMR case with 80% contrast dose reduction. Pixel-wise MBF maps and AHA 16-segment bull's eye plots are shown for full-dose and reduced-dose acquisitions. When analyzed using the proposed MST deep learning method, the reduced-dose data closely matches the full-dose data across basal, mid, and apical slices. In contrast, Fermi-deconvolution shows good agreement in apical and mid slices but overestimates MBF in some basal segments, indicating reduced accuracy under low-dose conditions. Image courtesy of the ISMRM.
ISMRM: AI reconstruction can improve sustainability in MRI
By Erik L. Ridley
Researchers reported substantial energy and time savings from adoption of AI-based MR image reconstruction.
May 13, 2025
Judith Herrmann, MD, PD, of the University Hospital Tübingen in Germany.
ISMRM: Deep-learning tool shows promise in diagnosing frontotemporal dementia
By Maryam Payne
An automated brain volumetry model for MRI shows promising accuracy in diagnosing FTD, according to research presented at ISMRM 2025.
May 11, 2025
Workflow for FTD, AD, and CN classification using automated brain volumetry. Graphic and caption courtesy of Seung Hyun Lee and the ISMRM.
CNN techniques outperform conventional DL for Alzheimer's diagnosis
By Kate Madden Yee
Convolutional neural network (CNN) techniques outperform conventional deep learning (DL) methods in diagnosing Alzheimer's.
May 7, 2025
Alzheimers Amyloid
About half of women undecided on AI's use in breast imaging
By Amerigo Allegretto
The jury is out on AI use in breast imaging, but women with a higher education and more health literacy are more likely to welcome it.
May 7, 2025
Breast Computer Monitor Mammogram
Selecting the Right AI Applications for Workflow Efficiency
In the dynamic field of radiology, the increasing demand for imaging services has led to a surge in the development of workflow efficiency applications, particularly those utilizing artificial intelligence (AI).
May 2, 2025
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AANS: AI shows accuracy in aneurysm detection
By Maryam Payne
A commercial AI application was highly accurate in detecting intracranial aneurysms on over 11,000 CT angiography studies.
April 30, 2025
Artificial Intelligence Brain Close 400
Deep-learning technique boosts diagnostic ability of fast knee MRI
By Kate Madden Yee
A new, fast deep learning-based MR imaging technique shows excellent performance for diagnosing knee injuries, researchers have reported.
April 24, 2025
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Health data restrictions plague medtech AI developers
By Liz Carey
Medtech industry and health leaders from big tech have introduced a new AI Policy Roadmap.
April 23, 2025
Data Protection Nijat
MRI tool segments over 60 abdominal organs, structures
By Amerigo Allegretto
An automated multiorgan tool can accurately segment T1-weighted abdominal MR images.
April 22, 2025
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AI produces synthetic 3T MR images from portable scans
By Erik L. Ridley
Findings show that AI could potentially expand the utility of neuroimaging on portable MRI systems.
April 22, 2025
Figure: Improved image quality with a generative adversarial network architecture for low- to high-field-strength image translation, called LowGAN. (A–C) Top: High-field-strength (3-T) and low-field-strength (64-mT) images and LowGAN outputs for a single participant across (A) fluid-attenuated inversion recovery (FLAIR), (B) T1-weighted (T1w), and (C) T2-weighted (T2w) contrasts. Bottom: Graphs demonstrate the structural similarity index (SSIM), peak signal-to-noise ratio (PSNR), normalized cross-correlation (NCC), and feature similarity index (FSIM) between high field strength and low field strength (64-mT) and high field strength and LowGAN outputs. a.u. = arbitrary units.****p ≤ 0.0001. Images and caption courtesy of Radiology and the RSNA.
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