Women’s imaging encompasses many radiology procedures related to women and the diseases that are most prevalent to women such as breast cancer or gynecological issues. Mammogram, breast ultrasound, breast MRI and breast biopsy are the most commonly used procedures.
In a new paper in Radiology, experts explain how the use of artificial intelligence to identify lesion subtypes could benefit both clinics and patients.
The preliminary results of a new study published in the medRxiv preprint server highlight variances in fetal brain development based on mothers’ perceived stress during the onset of COVID.
A new paper highlights several studies supporting the use of screening mammography for women with breast implants, as well as additional considerations that need to be made for these patients.
Leslee Shaw, PhD, director of the Blavatnik Family Women's Health Research Institute, a professor of medicine at the Icahn School of Medicine at Mount Sinai, and a former president of both SCCT and ASNC, explains the sex differences in cardiovascular imaging presentations in women versus men.
Connie Lehman, MD, PhD, chief of breast imaging, co-director of the Avon Comprehensive Breast Evaluation Center at the Massachusetts General Hospital, and professor of radiology at Harvard Medical School, discusses trends she sees in breast imaging.
Suggesting that the standard 10-year age gap screening rule might not be as beneficial as previously assumed, researchers have indicated that women with relatives diagnosed at younger ages should consider different screening criteria.
Automated AI-generated measurements combined with annotated CT images can improve treatment planning and help referring physicians and patients better understand their disease, explained Sarah Jane Rinehart, MD, director of cardiac imaging with Charleston Area Medical Center.
Two advanced algorithms—one for CAC scores and another for segmenting cardiac chamber volumes—outperformed radiologists when assessing low-dose chest CT scans.
"Gen AI can help tackle repetitive tasks and provide insights into massive datasets, saving valuable time," Thomas Kurian, CEO of Google Cloud, said Tuesday.