
French mammography study tests AI second-read triage
The Radiology: Artificial Intelligence study found that excluding AI-low-risk mammograms from second reading could reduce workload by about 77%, with 1 cancer detected in the AI-low group.
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Machine learning, PACS, workflow automation, and the future of the reading room.

The Radiology: Artificial Intelligence study found that excluding AI-low-risk mammograms from second reading could reduce workload by about 77%, with 1 cancer detected in the AI-low group.

GE HealthCare said the kinetic-modeling software is designed for 4D visualization, Patlak analysis, curve fitting, and tracer-behavior assessment across PET systems.

The University of Cincinnati opened the Imaging Research & Development Center with UC Health, Cincinnati Children’s, GE HealthCare, and JobsOhio.

Nucs AI will adapt and validate image-based AI models for metastatic castration-resistant prostate cancer research involving PSMA-targeted radioconjugates.

The update puts clinical context, EHR data retrieval, generative dictation, and critical-result routing inside one interpretation workspace.

Health Canada approval covers Hermia SIRT and Hermia Lung Lobe Quantification, extending clinical use of the molecular imaging platform in Canada.

Philips said Disney content is being incorporated into Ambient Experience for MRI across 87 countries, with study data showing lower stress and fewer scan pauses in younger children.

Subtle Medical said the software can enhance PET images from accelerated acquisitions and supports PET/CT and PET/MR systems across FDA-approved radiotracers.

A Canadian survey found that trainees with stronger AI knowledge were more likely to consider radiology, but also more likely to report discouragement tied to AI uncertainty.

NIH-funded research led by Baohong Yuan is developing super-resolution tomographic imaging for clearer visualization of biological structures several centimeters below the skin.

The study analyzed 258,373 X-rays from 100 medical centers across 26 countries and evaluated the Rayvolve AI Suite across trauma, chest, measurement, and bone age use cases.

The neuroradiologist and former RadNet CTO will advise the neuroimaging AI company as it seeks to strengthen clinical validation and U.S. market expansion.

The model was trained on more than 13,000 cardiac MRI studies and linked moving heart images with clinical radiology reports, according to the research team.

The integration combines AWS HealthImaging’s cloud-based DICOM storage with Flywheel’s imaging data orchestration tools for clinical trials, research, and AI development.

The company is making the HelloAI Professional track available at no cost, adding more than 20 hours of on-demand healthcare AI education.