An AI algorithm for breast cancer screening has potential to enhance the performance of digital breast tomosynthesis (DBT), reducing interval cancers by up to one-third, according to a study published ...
Deep-Transfer-Learning–Based Natural Language Processing of Serial Free-Text Computed Tomography Reports for Predicting Survival of Patients With Pancreatic Cancer The first approach led to a ...
Subcutaneous and retromammary fat surrounds the glandular tissue and constitutes most of the bulk of the breast. 3 Stimulation of breast tissue by hormone fluctuations during the menstrual cycle may ...
About The Study: In this retrospective cohort study of women undergoing screening mammography, mean absolute artificial intelligence (AI) scores were higher for breasts developing vs not developing ...
Impact and predictors of readmission in hypercalcemia of malignancy: Findings of a nationwide analysis. This is an ASCO Meeting Abstract from the 2021 ASCO Annual Meeting I. This abstract does not ...
Share on Facebook. Opens in a new tab or window Share on Bluesky. Opens in a new tab or window Share on X. Opens in a new tab or window Share on LinkedIn. Opens in a new tab or window We've got some ...
Breast cancer is the most common cancer to occur among women in the United States, and 13.2% of all US women are expected to develop this malignancy in their lifetime. [1] In the National Cancer ...
The novel findings from a 12-year review uncovered these algorithms can both exacerbate and mitigate racial and ethnic disparities in health care. As algorithms wield increasing influence in health ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results