Erik L. Ridley

AI
SIIM: AI creates well-received radiology reports for patients
A study presented at SIIM 2025 highlighted the potential of AI-created video radiology reports for improving patient engagement.
May 22, 2025
Luyang Luo, PhD, presented the group's results in a session at SIIM 2025.
AI
Video: Howard Chen talks AI implementation and development trends
We caught up in Portland with Howard Chen, MD, of the Cleveland Clinic to hear about the latest trends in radiology AI technology development and implementation.
May 21, 2025
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AI
Video: Florence Doo talks radiology AI sustainability
In a video interview, Florence Doo, MD, of the University of Maryland spoke about sustainability issues with radiology AI technology.
May 21, 2025
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ISMRM 2025
Video from ISMRM: Trends from this year’s program
ISMRM 2025 Program Chair Kei Yamada, MD, PhD, discusses key trends from the meeting in a video interview.
May 15, 2025
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ISMRM 2025
ISMRM: AI gives speed boost to cardiac MRI reconstruction
Cardiac MR image quality and acquisition times could be significantly improved by a new AI algorithm, according to a talk at ISMRM 2025.
May 15, 2025
Yiying Hua, MD, of Fudan University.
ISMRM 2025
ISMRM: AI reconstruction can improve sustainability in MRI
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.
Editor's Note
Week in Review: Whole-body MRI hype | ISMRM 2025 | Research funding cuts
The most popular stories this week on AuntMinnie featured retail whole-body MRI, a preview of ISMRM 2025, and the impact of NIH funding cuts on radiology research.
May 10, 2025
Editor's Note
Week in Review: SPECT/CT predicts survival | Neurotheranostics | Women OK with cancer risk data
Our most popular stories last week featured nuclear medicine and molecular imaging topics, as well as coverage of ARRS 2025.
May 3, 2025
Clinical News
Week in Review: Right to repair in NC | LCS for nonsmokers | Do women want mammo AI?
Our most highly viewed articles last week included coverage of a right-to-repair bill for imaging equipment and the potential benefit of lung cancer screening for nonsmokers.
April 26, 2025
MRI
AI produces synthetic 3T MR images from portable scans
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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Interventional
What’s the best treatment for 'eloquent' brain AVMs?
Researchers performed the first direct comparisons of two emerging techniques for treating arteriovenous malformations (AVMs).
Images in a 49-year-old patient originally treated for hormone receptor-positive invasive cancer without preoperative MRI who developed bloody nipple discharge two years after surgery. (A) Left mediolateral oblique mammogram shows new grouped pleomorphic calcification (arrow) adjacent to the previous operation site. (B) Transverse ultrasound image shows a 2.3-cm hypoechoic mass (arrows) with calcifications. (C) Axial contrast-enhanced fat-saturated T1-weighted MRI scan shows an irregular, heterogeneously enhancing mass (arrow) in the left breast, adjacent to the operation site. The final pathologic examination confirmed recurrent invasive ductal carcinoma.
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Preop MRI lessens younger women's risk of breast cancer recurrence
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MRI
MRI predicts diabetes in obese patients
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CT
Consider global lung features on LDCT to improve cancer risk prediction
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PET/CT scans can help identify which patients are most likely to benefit from treatment.
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