Imaging Informatics

SIIM: AI creates well-received radiology reports for patients
By Erik L. Ridley
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.
SIIM: AI identifies gaps in care in patients with fractures
By Will Morton
AI software for identifying vertebral compression fractures could close a gap in patient care.
May 22, 2025
Mohamed Ibrahim, MD, presented a study May 21 on how AI can identify gaps in care for patients with vertebral compression fractures.
Video: Howard Chen talks AI implementation and development trends
By Erik L. Ridley
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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Video: Florence Doo talks radiology AI sustainability
By Erik L. Ridley
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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SIIM: Who will win the AI revolution in health care?
By Will Morton
The question facing the healthcare industry is, "Who will win the AI revolution?"
May 21, 2025
AI policy expert Rohini Kosoglu delivered the keynote address at the opening session of SIIM on May 21.
SIIM: Are foundation models the future for AI in radiology?
By Will Morton
AI foundation models are booming in health care and hold significant promise in radiology.
May 21, 2025
Bernardo Bizzo, MD, PhD
Radiologists offer roadmap for measuring and addressing AI bias
By Liz Carey
An evaluation of risk of radiology AI algorithm bias finds pitfalls in three key areas.
May 20, 2025
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ISMRM: AI gives speed boost to cardiac MRI reconstruction
By Erik L. Ridley
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.
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
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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.
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