Search Tag: Mammograms
2023 29 Sep
A recent study, published in the Journal of the American College of Radiology, revealed an increasing number of patients are taking the initiative to schedule their own screening mammograms through online portals. Notably, this trend is most prominent among younger patients. The American College of Radiology advises annual screening mammograms...Read more
2023 20 Sep
Researchers in the UK conducted a comparative study using a standardised assessment to evaluate the performance of a commercially available artificial intelligence (AI) algorithm with human readers of screening mammograms. The outcomes of this research have been published in the Radiology journal. Although double reading can increase cancer...Read more
2023 29 May
The U.S. Preventive Services Task Force (USPSTF) recently reviewed the evidence and effectiveness of breast cancer screening. They recommend that all women begin screening for breast cancer at age 40 and screen every other year until age 74. In 2016 the task force recommended that biennial mammograms start at age 50 and the decision for women...Read more
2020 19 May
“Installing PowerLook ® Density Assessment has helped improve the workflow of our department and also in the education of our patients about the importance of knowing your breast density,” Adrea Bennett, Center for Women Supervisor, Swedish-American Hospital Summary Swedish-American Hospital (SAH), a division of UW Health,...Read more
2019 24 Sep
A recent study in Radiology showed that selective mammography can help identify breast cancer for men with a high-risk. The rarity of breast cancer in men has led to little research on the outcomes in this cohort despite the high rates of mortality. Out of the 2670 cases of invasive breast cancer estimated to be diagnosed in 2019, the American Cancer...Read more
2019 22 Feb
Review of some state-of-the-art applications of artificial intelligence on mammography and MRI. Computer aided imaging is not novel, having been around for 50 years. Developments have boosted the accuracy of computer-based analysis and breast imaging is at the forefront, as large databases are available, and radiologists tasks on images are...Read more
2019 06 Feb
Executive Summary In this article to appear in HealthManagement the Journal on 22 February 2019, authors Jonas Teuwen , Nikita Moriakov and Ritse Mann present a review of some state-of-the-art applications of artificial intelligence ( AI ) on mammography and magnetic resonance imaging ( MRI ). While computer aided imaging is not...Read more
2018 22 Feb
Researchers in South Korea have developed a deep-learning algorithm to help with the detection of breast cancer. They used pure data-driven features from raw mammograms without any lesion annotations to develop the algorithm. Results of their study, published in Scientific Reports, show the potential of the new deep-learning model for predicting breast...Read more
2017 12 Jun
According to a Yale study, because many small breast cancers are inherently slow growing, often these cancers will not grow large enough to become significant within a patient’s lifetime and subsequently early detection could lead to overdiagnosis. In contrast, large tumours that cause most breast cancer deaths often grow so quickly that they become...Read more