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.
New findings support the routine use of deep learning-based risk assessments, as this method can decrease subjectivity, reduce unnecessary imaging and improve diagnostic accuracy.
The 4D system harnesses X-ray diffraction to measure molecular-level signatures of disease; these tissue “fingerprints” could help providers diagnose breast cancer in its earliest stages.
The physician-owned, Raleigh-based practice said this coincides with its new “We See the Difference” campaign, aimed at educating women about screening.
The nation’s largest radiology practice is introducing an AI-based service that can warn women of looming cardiovascular risk whenever they receive a routine screening mammogram.
Thanks to AI, clinicians can use mammograms to do a lot more than identify signs of breast cancer. Researchers explored data from nearly 50,000 patients, presenting their findings in Heart.