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.
Keith J. Dreyer, DO, PhD, FACR, American College of Radiology (ACR) Data Science Institute Chief Science Officer, explains how radiology vendors have developed AI app stores to make it easier to access new FDA cleared AI algorithms.
Keith J. Dreyer, DO, PhD, FACR, American College of Radiology (ACR) Data Science Institute Chief Science Officer, explains 5 developments to watch for in radiology artificial intelligence (AI).
A new study highlights the benefits of MRI for determining pregnancy risks related to placental dysfunction, opening doors for earlier care management.
The responses of 1,948 women aged 40 to 49 were detailed recently in Academic Radiology, where researchers offered detailed insight into what factors influence women at average risk of breast cancer to seek or delay screening at certain ages.
This image gallery shows what the various clinical presentations associated with the COVID-19 virus that have been documented during the coronavirus pandemic.
Since 2006, the FDA has recommended MRI screenings as a way to detect asymptomatic breast implant ruptures—but many patients seem unaware of or are actively ignoring the guidance.
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.