Mammography

News • Trial investigates combined benefits

Liquid biopsy and mammography: a perfect match for breast cancer detection?

Could a liquid biopsy blood test help detect breast cancer earlier than a mammogram alone? A new clinical trial to evaluate this question has just started.

Finding what the mammogram misses

From population-based mammography screening to more nuanced, risk-adapted models: Emerging technologies, among them contrast-enhanced mammography and contrast-enhanced MRI, as well as next-generation…

News • Meta-analysis of mammography trials

Overdiagnosis in breast cancer screening less common than previously thought

The extent of overdiagnosis has been one of the most debated issues in breast cancer screening for decades. Now, a new study suggests that it is less of a problem than previously thought.

News • Longitudinal AI analysis

Deep learning predicts breast cancer risk from changes in mammograms

AI models can now assess breast cancer risk directly from changes in screening mammograms over time, a new study shows. This opens the door to a new era of dynamic breast cancer risk assessment.

News • Quantification of arterial calcifications

AI predicts heart disease risk from mammograms

Breast cancer screening could also be used to screen for cardiovascular disease, new research suggests: The risk of serious or fatal heart disease can be predicted with AI analysis of mammograms.

Article • The “invisible” population

Breast screening blind spot: Why transgender patients are falling through the cracks

Transgender patients are largely invisible in breast cancer screening statistics – and many never receive an invitation to participate in screening programmes. Guidelines exist, but awareness among…

Article • Implementation of clinical artificial intelligence

One AI, one radiologist: How a Swedish hospital beat breast screening backlogs

When radiologists at Stockholm's Capio Sankt Görans Hospital began working evenings and weekends to clear mounting backlogs, it became clear that something had to change. The solution? Replacing one of the two radiologists traditionally assigned to read breast cancer screenings with artificial intelligence (AI). The results: fewer false positives, more cancers detected, and radiologists…

Article • Advancing risk stratification

AI in breast cancer screening: From mammograms to personalised risk prediction

Artificial intelligence is reshaping how clinicians identify women at higher risk of breast cancer – and may soon guide decisions on supplemental screening and treatment. At the European Society of Breast Imaging (EUSOBI) annual scientific meeting in Aberdeen, Scotland, two experts presented their latest findings on AI-driven risk stratification and response prediction.

News • Lung cancer CT notification

Breast cancer: Keep CALM – and coordinate your screenings

Many women over 50 schedule mammograms for breast cancer but miss out on CT lung cancer screenings they're also eligible for. Targeted outreach coul help change this, a new study shows.

News • Unintended effects

Telling women that they have dense breasts may do more harm than good

Should women be told about their high breast density as part of mammography screening? While this may sound like an obvious choice, a new study warns of unintended effects.

News • Appeal for earlier screening approaches

Alarming number of invasive breast cancers in younger women

Breast cancer – including aggressive variants – are surprisingly common in younger women, a new study shows. The findings strengthen the case for earlier, risk-tailored screening, the authors say.

Article • Risk stratification initiatives in Europe and UK

The future of breast imaging: a date with density

About 60% women in Europe enrolled in a national breast cancer screening programme who have a screening mammogram can feel reasonably confident that radiologists will be able to diagnose early-stage breast cancer. But what about the 30% categorised as having dense breasts, and the 10% who have extremely dense breasts? At the 2025 SBI (Society of Breast Imaging) Breast Imaging Symposium held in…

Article • Management of escalating imaging workload

Breast cancer screening: growing with the challenge

Rising attendance in mammography screening programmes attest to the fact that women understand the importance of early breast cancer detection. However, the resulting workload increase is a growing challenge for many women’s imaging centres. At the 2025 SBI (Society of Breast Imaging) Symposium, breast imaging specialist Stamatia V. Destounis, MD, discussed her practice’s coping strategies.

News • Machine learning analysis

‘Two-for-one’ screening uses mammograms to predict heart disease in women

Using AI to help detect one of the leading killers of women worldwide: A new machine learning model can successfully predict heart disease risk in women by analysing mammograms.

News • Reliability of mammography analysis

AI still misses 14% of advanced breast cancer cases, study finds

AI may be effective at detecting advanced breast cancer in mammograms, but current models still lack reliability. New research from Korea suggests that up to 14% of invasive cases are missed.

News • Breast cancer screening

Mammography: Hybrid reading to overcome AI overconfidence

Mammography image interpretation AI models are unreliable – but so are human readers. A new hybrid strategy could reduce radiologist workload by 38% without compromising diagnostic efficacy.

News • Mammogram assessment

AI can replace second radiologist in breast cancer screening, study finds

More clinically relevant tumors detected at an earlier stage and at lower costs: New research finds that AI can replace the second radiologist in the Dutch breast cancer screening program.

News • Beyond the mammogram

Cracking the code of breast calcifications – with geology?

Dense calcifications are common in breast tissue, but not every finding in a mammogram is a precursor of cancer. New insights could lead to fewer benign biopsies and guide therapeutic development.

News • "An additional set of eyes"

Breast cancer diagnosis: AI decision support improves radiologists' performance

By directing radiologists' attention to potentially suspicious areas, AI can help spot more lesions indicative of breast cancer in mammograms. This is suggested by a new study.

News • Radiomic parenchymal phenotypes

Dense breasts = high cancer risk? It's not that simple

Using radiomics on mammograms of over 30,000 women, researchers have identified six breast texture patterns that may be associated with increased cancer risk.

News • Breast cancer diagnosis

AI classifies mammography microcalcifications

A novel deep-learning approach automatically finds and classifies microcalcifications found in mammography images—bringing both accuracy and consistency to breast-cancer screening.

News • Trust in technology

Patients open to AI support in mammography

Despite their improving diagnostic accuracy, medical AI systems are often met with skepticism by radiologists. Their patients, however, seem more inclined to embrace this technology, a study shows.

News • Study on incidence and risk factors

Many breast cancers are detected between screenings

3 out of 10: Mammography screening has been shown to be effective in reducing breast cancer mortality. Still, many cancers are diagnosed between screening rounds, a new study shows.

News • Deep learning-based CVD risk prediction

Mammography and AI open a new window into heart health

New findings show how AI-assisted mammography may not only reveal breast cancer, but can also assess calcium buildup in the arteries within breast tissue—an indicator of cardiovascular health.

News • Trial results surpass expectations

AI enhances breast cancer screening performance

AI-supported screening for breast cancer can detect more cancer cases compared with traditional screening, and find more invasive cancers at an early stage, results from the MASAI trial indicate.

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