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.
Rather than test artificial intelligence's ability to detect malignant lesions on imaging, researchers instead recently explored how it impacts radiologists' interpretation processes.
The photoacoustic CT, or PACT, imaging technique is said to perform comparably to mammography for cancer detection, but without the discomfort of standard mammograms.
The agent “exhibits powerful tumor delineation” in challenging cases of determining cancer subtypes, and could potentially lead to more personalized, effective treatment strategies.
Russell P. Harris, MD, penned the piece for the Annals of Internal Medicine, spurred by new recommendations issued by the U.S. Preventive Services Task Force.
Samir Patel, MD, radiologist at Radiology Inc., and a board member of the Beacon Health System, explains how AI is being implemented in clinical practice for breast imaging.