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.
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.
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.
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.
Improved breast cancer detection, reduced workload for radiologists: The world’s largest prospective study on AI in Germany’s Mammography Screening Program reveals the technology's benefits.
Minimally invasive surgical interventions, innovative imaging and the use of AI: At the upcoming EUSOBI congress in Lisbon, experts present and discuss the latest advances in breast imaging. We spoke with Tanja Brycker from Hologic ahead of the event about new trends in women’s health, the company’s investment in innovation and education, and what the future of mammography looks like with the…
Measuring the calcium build up in the arteries of the breast, researchers have developed an AI-generated score for predicting cardiovascular disease in women from their mammograms.
Mammography can lead to “false positives,” meaning they do not result in a breast cancer diagnosis. This may discourage some women from future screenings, according to a new study.
Interdisciplinary collaboration between gynaecologists, radiologists, pathologists and breast care nurses following a palpation finding makes a decisive contribution to the success of further breast cancer treatment. This was the consensus among the speakers at the Annual Congress of the German Society of Senology in Dresden. The experts provided clear explanations of which imaging is best for…
Using artificial intelligence (AI), breast radiologists in Denmark have improved breast cancer screening performance and reduced the rate of false-positive findings.
Current AI systems for detecting breast cancer from mammography exams are more likely to produce false-positive results in black women and older patients, a new study finds.
A team of Danish and Dutch researchers has combined an AI diagnostic tool with a mammographic texture model to improve the assessment of short- and long-term breast cancer risk. This new approach represents a significant step forward in refining the ability to predict the complexities of breast cancer risk.
A clinical trial has revealed the effectiveness of '3D mammography' in reducing by almost half the incidence of interval breast cancer appearing between two rounds of screening.
On 9 December 2023, NovaLife Polyclinic, with over 15 years of experience in the private healthcare sector in Timișoara, proudly inaugurated its state-of-the-art branch in the vibrant capital city of Bucharest.
While having more centers adopt digital breast tomosynthesis (DBT) for breast cancer screenings into their practice is a positive change, it also presents some challenges for radiologists—particularly the increased number of images for radiologists to review. This challenge has paved the way for AI to offer innovative workflow solutions for radiologists that do not sacrifice accuracy.
University of Waterloo researchers are pioneering a method to detect breast cancer in women early enough for them to receive life-saving treatment.
Mammography screening is vital in breast cancer prevention, but about 3% of women receive a false-positive result. This not only causes worry, but also increases risk of developing breast cancer.
At the EUSOBI congress in Valencia, Hologic showcases its women's health portfolio, announces global partnerships for breast health - and even brings a sweet treat for the congressgoers.
A new mammography system was introduced at the EUSOBI 2023 congress by Siemens Healthineers. The system, which uses wide-angle tomosynthesis, was presented as "groundbeaking" by the company.
