Imaging Informatics: Page 24

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
AI-powered brain MRI analysis workflow for neurological disease prediction
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
Digital network visualization with interconnected technology nodes and data flow connections
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
Digital brain on circuit board representing AI and neural technology
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
2025 04 23 Ajr Vosshenrich Thumbnail
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
Cybersecurity padlock protecting digital network infrastructure
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
2025 04 22 Radiology Mrisegmenter Thumbnail
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.
Cortechs.ai software gets Health Canada approval
By AuntMinnie.com staff writers
AI developer Cortechs.ai has received approval from Health Canada for its medical imaging analysis software suite.
April 22, 2025
Brain merging with digital circuit board, representing AI and neural technology
More women welcome AI assistance for mammography exams
By Amerigo Allegretto
More women are willing to have AI assistance for their breast cancer screening exams.
April 18, 2025
Mammo Reading 400
How can AI best help in LDCT lung cancer screening?
By Will Morton
A commercially available AI-based tool appears effective as a prescreener in low-dose CT lung cancer screening.
April 16, 2025
Lung Cancer
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