Breast cancer

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…

News • Acellular dermal matrix for breast reconstruction

Injectable breast ‘implant’ as alternative to surgery

Researchers have developed a prototype injectable paste that could help restore breast volume after tumor removal, with less scarring and shorter healing time than current options.

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 • Genetic risk-based approach

Enhancing breast cancer screening to save young women’s lives

Breast cancer screening for women under 50 isn't cost-effective – yet 1 in 5 diagnoses occurs in this age group. A new study suggests a personalised approach that could change this equation.

Article • Overlooked and underserved populations

Breast imaging for male and transgender patients: bridging the knowledge gap

Breast imaging for male and transgender patients remains an under-researched field with significant gaps in guidelines and clinical practice. At the European Society of Breast Imaging (EUSOBI) annual scientific meeting, experts presented findings from a pan-European survey on male breast imaging and announced plans for a similar initiative focusing on transgender patients.

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.

News • Benefits for survival and employment

Breast cancer: study explores economic aspects of radiotherapy

While saving lives remains the primary goal, a new study explores how radiation therapy also helps breast cancer survivors return to work. Policymakers should factor this in, the researchers argue.

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…

News • Transformer-based learning from radiomics and clinical data

New AI model improves prediction of breast cancer recurrence

An international team has developed an AI model that brings together medical imaging data and clinical information to calculate the risk of breast cancer tumour recurrence more accurately.

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 • Study explores clinical potential of WGS

Whole genome sequencing could help 15,000 breast cancer patients per year, study finds

Breast cancer claims around 670.000 lives each year. Now, researchers propose that whole genome sequencing (WGS) could help many patients find better treatments or match them with clinical trials.

News • Quantitative analysis of the mammary ductal tree

Calculating breast health with branching math

Researchers have developed a tool to quickly quantify changes in the branches of mouse mammary glands. This could one day be used to detect early warning signs of breast cancer.

News • Call for more informed decision

Hormone replacement therapy after breast cancer: a risk worth taking?

Breast cancer survivors are often discouraged from undergoing hormone replacement therapy (HRT) to alleviate menopause symptoms. Now, new research paints a more differentiated picture.

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.

Article • AI-powered prediction

Machine learning identifies cardiotoxicity risk in breast cancer patients

Researchers have developed a machine learning algorithm that uses cardiac MRI images to help identify breast cancer patients who may be at risk of cardiotoxicity during cancer treatment. The research, led by cardiologist Dr Paaladinesh Thavendiranathan, was presented at the European Society of Cardiology's Cardio-Oncology Conference in Florence in June.

News • Endoscopic magnetometer

Finding cancer with diamond sensors

Researchers report they have built a new non-toxic and non-radioactive handheld device that uses the unique properties of diamonds to diagnose metastasized breast cancer.

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 • Respiratory viruses wake up cells in the lungs

How Covid-19 and flu infections revive dormant breast cancer

Common respiratory infections such as influenza and Covid-19 can awaken dormant breast cancer cells that have spread to the lungs, setting the stage for new metastatic tumors, new research finds.

News • Lifetime risk thresholds for mastectomy

Breast cancer: When should clinicians offer surgical options?

When should preventive mastectomy be offered for women at higher risk of breast cancer? A new evaluation model defines thresholds at which risk reducing surgery should be recommended.

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 • Digital health

DeepHealth completes iCAD acquisition for breast cancer AI tools

RadNet's DeepHealth unit has completed its acquisition of iCAD, adding established AI breast cancer detection capabilities to its diagnostic platform.

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.

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