Affidea to partner with b-rayZ in breast imaging AI

AuntMinnieEurope.com staff writers

Jun 30, 2025

Affidea Group plans to partner with b-rayZ on AI-driven breast imaging.

B-rayZ's AI platform streamlines the breast cancer diagnostic process, thus avoiding delayed care decisions and treatment, according to Affidea. The platform is already in use in Switzerland at Affidea's Centre of Excellence in Breast Cancer, Breast Zentrum Zurich, as well as at Affidea Givision at Site Hôpital Daler in Fribourg. It has been implemented at Affidea Lithuania and Affidea Spain, with further expansions planned, the company said.

Affidea has also become an investor in b-rayZ in a Series A extension equity funding round, according to the firm.

Shutterstock 1918864388

AI performs well in breast screening, but density complicates the picture

August 13, 2026

Pexels Cristian Rojas 8460378

Gender disparities persist in radiology despite progress, ESR survey finds

July 23, 2026

Improve mammography skills in your own time: online training and education.

Improve mammography skills in your own time: online training and education.

June 25, 2026

MRI false positive for additional disease, (top to bottom): A. Index lesion—grade 2 invasive ductal carcinoma; B. MRI lesion two, upper inner quadrant: Stromal sclerosis and columnar cell change; C. MRI lesion three, upper outer quadrant: No ultrasound correlate, no malignancy on follow-up; D. CEM marked background parenchymal enhancement with a unifocal retroareolar lesion demonstrating wash-out on delayed MLO. Images are republished under a Creative Commons license (CC BY 4.0).

CEM on par with MRI for breast cancer diagnosis, local staging

July 10, 2026

AI performs well in breast screening, but density complicates the picture

By Claudia Tschabuschnig

While AI can support breast cancer risk assessment, its performance declined as breast density increased, while variations related to equipment vendor and measurement level may complicate personalized screening.

August 13, 2026

Shutterstock 1918864388

Gender disparities persist in radiology despite progress, ESR survey finds

By Claudia Tschabuschnig

Women were far more likely than men to view gender as a career disadvantage, while differences between European regions suggest opportunities for improvement.

July 23, 2026

Pexels Cristian Rojas 8460378

Incorrect AI suggestions influence reader performance on mammography

By Amerigo Allegretto

The biggest impact on reader performance stemmed from false-negative AI suggestions.

July 14, 2026

A normal mammogram confirmed by three-year radiologic follow-up illustrates reader-marked regions of interest (ROIs) during (A) unaided (round 1) and (B) artificial intelligence (AI)–assisted (round 2) reading. Each colored dot represents an ROI for recall by a human reader. Readers could mark more than one ROI per case, represented by multiple dots of the same color. During AI-assisted reading, the AI system displayed three visible prompts: two with suspicion of malignancy scores of 35% (left mediolateral oblique [L MLO] and craniocaudal [L CC]) and one with a suspicion of malignancy score of 10% (right craniocaudal [R CC]), shown as polygonal overlays. Without AI, six of 10 readers (60%) marked a false-positive ROI. With AI assistance, this fell to two of 10 (20%). R MLO = right mediolateral oblique.

CEM on par with MRI for breast cancer diagnosis, local staging

By Amerigo Allegretto

CEM alone in a prospective study achieved perfect sensitivity and negative predictive value in diagnosing breast cancer.

July 10, 2026

MRI false positive for additional disease, (top to bottom): A. Index lesion—grade 2 invasive ductal carcinoma; B. MRI lesion two, upper inner quadrant: Stromal sclerosis and columnar cell change; C. MRI lesion three, upper outer quadrant: No ultrasound correlate, no malignancy on follow-up; D. CEM marked background parenchymal enhancement with a unifocal retroareolar lesion demonstrating wash-out on delayed MLO. Images are republished under a Creative Commons license (CC BY 4.0).

Quibim launches AI breast MRI tool across Europe, UK

By AuntMinnieEurope.com staff writers

The tool, QP-Breast, highlights suspicious areas on MRI and generates reports from imaging findings.

July 2, 2026

Qp Breast Press 02

Fujifilm, IAEA sign agreement to expand cancer imaging

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Pet Scan Patient 400 (1)

What's the optimum approach for B3 breast lesions?

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Breast Cancer Social

AI may provide early breast cancer alerts from mammograms

By Amerigo Allegretto

Commercial AI systems could provide early alerts for breast cancer by picking out early signs of the disease on mammograms.

June 9, 2026

Screening mammograms and AI score changes are depicted over time in two individuals with screen-detected cancer. Full-field digital mammograms show craniocaudal (top) and mediolateral (bottom) views of the left and right breast. The description below each mammogram indicates whether AI scores from three AI-based computer-aided detection systems (AI-1, AI-2, and AI-3) were above or below the 90th percentile. (A) Mammograms from three screening time points (in 2009, 2011, and 2014) in an individual who was diagnosed in February 2014 (at age 73 years) with a left-sided 25-mm grade 2 invasive breast carcinoma, no special type (arrow). Mammographic breast density was classified as BI-RADS B on all three mammograms. (B) Mammograms from four screening time points (in 2009, 2011, 2013, and 2015) in an individual who was diagnosed in October 2015 (at age 65 years) with a left-sided 45-mm grade 2 lobular carcinoma (arrow). Mammographic breast density was classified as BI-RADS C on all four mammograms. Screen-detected cancers were defined as those diagnosed within 90 days for individuals who were recalled at screening (*).

QT Imaging secures clearance for CT scanner in Saudi Arabia

By AuntMinnie.com staff writers

The company has now secured regulatory clearance in both Saudi Arabia and the United Arab Emirates.

June 3, 2026

AI can mislead radiologists -- and make the error more persuasive

By Claudia Tschabuschnig

A study from Milan puts hard numbers on how often radiologists follow a wrong AI recommendation and whether explainable AI can help.

June 2, 2026

Grad-CAM heatmaps showing the AI model's areas of attention overlaid on standard mammography views, as displayed to radiologists during the XAI-assisted reading sessions.

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