Ultrasound spots post-op breast cancer recurrence

New research suggests that reviewing mammography images in order of ascending volumetric breast density as opposed to random reading of exams demonstrated reduced reading time and less fixation time on malignant lesions.

In the third episode of a three-part podcast, Anand Narayan, M.D., Ph.D., and Amy Patel, M.D., discuss the challenges of expanded breast cancer screening amid a backdrop of radiologist shortages and ever-increasing volume on radiology worklists.

The combination of FDA-cleared AI software for mammography triage with a medical grade edge AI platform may allow the embedding of enhanced AI detection capability within existing mammography devices.

In the second episode of a three-part podcast, Anand Narayan, M.D., Ph.D., and Amy Patel, M.D., discuss recent studies published by the Journal of the American Medical Association (JAMA) that suggested moving to more of a risk-adapted model for mammography screening.

In a multicenter study of over 370 women who had surgery for ovarian cystic lesions without acute symptoms, researchers found that 42 percent of the resected lesions were deemed to have an O-RADS ultrasound risk score of 2, which has less than a one percent chance of malignancy.

With the capability of identifying possible cases of aortic value stenosis (AVS) from existing electrocardiograms (ECGs), the AI-powered screening software from AccurKardia may facilitate earlier diagnosis of AVS, which is fatally missed in 50 percent of patient who have this condition.