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Womens Imaging

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
By AuntMinnie.com staff writers
The two organizations will collaborate on awareness campaigns, education and training programs for healthcare professionals, and the provision of Fujifilm medical equipment.
June 29, 2026
Acquisitions
Canon Medical, Fraiya partner for AI prenatal ultrasound in Europe
By AuntMinnieEurope.com staff writers
Imaging focuses on the mid-trimester anomaly scan.
June 26, 2026
Image2
PET/CT could improve margin assessment for breast tumors
By Amerigo Allegretto
Specimen PET/CT imaging outperforms routine intraoperative margin assessment in breast tumors.
June 19, 2026
Pet Scan Patient 400 (1)
What's the optimum approach for B3 breast lesions?
By Philip Ward
Certain B3 lesion types should be screened more often, researchers from a top London hospital have asserted at the U.K. Imaging and Oncology Congress (UKIO).
June 9, 2026
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
Clearance
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.
Wearable ultrasound patch shows promise for continuous fetal monitoring
By AuntMinnie.com staff writers
The patch uses tracking algorithms to follow the umbilical cord as it moves.
May 28, 2026
A wearable ultrasound patch could provide continuous monitoring of the fetus and umbilical cord during pregnancy.
AI model predicts 10-year breast cancer risk
By Amerigo Allegretto
A mammography-based AI model showed strong performance in predicting 10-year breast cancer risk over clinical and other AI models.
May 20, 2026
Breast Cancer3
Is isolated breast pain an indication for imaging?
By Frances Rylands-Monk
Imaging has no role in patients with only breast pain and no other associated breast cancer signs, according to Dr. Matthew Wallis from Cambridge.
May 11, 2026
Dr. Matthew Wallis
Compartment-based image analysis will boost endometriosis detection
By Frances Rylands-Monk
Endometriosis management has changed radically over the last 20 years, according to a session at ECR 2026.
May 1, 2026
Dr. Miriam Dolciami
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