Imaging Informatics

Curagita, Mint Medical build German lung cancer screening network
By AuntMinnieEurope.com staff writers
The screening program will initially consist of 25 outpatient radiology sites and two second-reader centers in Heidelberg.
September 15, 2026
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GEHC, BIR team up for AI education initiative
By AuntMinnieEurope.com staff writers
HelloAI will include more than 20 hours of on-demand courses and webinars.
September 10, 2026
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U.K. commission publishes blueprint for regulating AI in healthcare
By AuntMinnieEurope.com staff writers
The RCR is voicing its support for the blueprint, which recommends faster access to safe and effective AI.
September 10, 2026
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Sectra extends enterprise imaging contract to cover Region Østdanmark
By AuntMinnieEurope.com staff writers
The Sectra One enterprise imaging platform will be used across all of the region's hospitals.
September 10, 2026
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ESHNR heads to Budapest with dental imaging, cancer updates and AI on the agenda
By Claudia Tschabuschnig
From dental MRI to imaging after cancer treatment, ESHNR 2026 brings practical challenges and emerging techniques to Budapest on September 10–12. Here’s what to watch for.
September 9, 2026
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Video: Charles Kahn on keeping pace with radiology AI
By Claudia Tschabuschnig
Dr. Charles Kahn looks beyond the AI hype to examine scientific rigor, better publishing, and what comes next.
September 7, 2026
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MRI-based model shows changes over time in multiple myeloma patients
By Amerigo Allegretto
Whole-body MRI could serve as a scalable biomarker for risk stratification in multiple myeloma patients.
September 4, 2026
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Vara nets CE certification for autonomous breast screening AI triage
By AuntMinnieEurope.com staff writers
Under the certification, exams the system classifies as clearly normal can be reported by AI without a radiologist reading them.
September 3, 2026
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AI cuts chest CT reporting time
By Will Morton
Exploratory modeling suggested an approximate reduction of 0.5 full-time equivalent radiologist workload.
September 1, 2026
Example of AI-assisted pulmonary nodule detection and longitudinal volumetric assessment in a 65-year-old woman with peripheral arterial disease, a 24-pack-year smoking history, emphysema, and a family history of lung cancer. An incidental 8.5-mm right lower lobe pulmonary nodule is identified at CT angiography of the abdomen in July 2022 but does not receive follow-up. Subsequent imaging demonstrates interval growth, and CT-guided biopsy confirms stage IA lung adenocarcinoma. Contrast-enhanced axial chest CT images obtained on February 2, 2024, before robotic-assisted thoracoscopic segmentectomy, show a 12.1-mm spiculated right lower lobe pulmonary nodule. (A) Conventional contrast-enhanced axial chest CT image without AI assistance shows a 12.1-mm spiculated right lower lobe pulmonary nodule. (B) Corresponding CT image with AI-assisted pulmonary nodule detection, automated segmentation, and quantitative nodule assessment identifies a solid pulmonary nodule (nodule #1) measuring 13 × 8 (11) mm, with a volume of 739 mm3, a 45% volumetric increase compared with the previous contrast-enhanced chest CT performed on October 9, 2023 (510 mm3), and an estimated volume doubling time (VDT) of 216 days. (C) AI-generated longitudinal nodule analysis displays automated segmentation of the current (February 2, 2024) and previous (October 9, 2023) CT examinations, 3D nodule reconstruction, and quantitative volumetric assessment for longitudinal follow-up. The AI interface is displayed in the original software language (Dutch).
AI framework could improve MRI quality control in prostate cancer
By Amerigo Allegretto
The framework uses a DL model trained on low- and high-quality MR images and helped improve radiologist accuracy.
August 19, 2026
Low-quality axial T2-weighted MRI scans with gradient-weighted class activation mapping. The low-quality MRI scans (top row) show blurred structures and artifacts making zonal and capsule boundaries indistinguishable. On the same scans with gradient-weighted class activation map overlays (bottom row), red indicates regions that were most heavily weighted by the deep learning model toward the low-quality prediction.
Nanox AI signs UK distribution deal for HealthOST bone health software
By AuntMinnieEurope.com staff writers
HealthOST analyzes routine CT scans for spine assessment.
August 18, 2026
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Review highlights opportunities and risks of AI in pediatric imaging
By Claudia Tschabuschnig
Adult-trained AI tools may underperform in children, requiring pediatric-specific datasets, age-stratified validation, and stronger clinical oversight for safe deployment, researchers say.
August 17, 2026
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