Advances in AI — June 2024

The AI-enabled EchoGo® Amyloidosis software for echocardiography has reportedly demonstrated an 84.5 percent sensitivity rate for diagnosing cardiac amyloidosis in heart failure patients 65 years of age and older.

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.

For patients undergoing curative treatment for lung cancer, coronary artery calcification scoring via computed tomography has a 97 percent likelihood of determining their risk for major cardiovascular events, according to a new meta-analysis.

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.

Reportedly developed on over 90,000 ultrasound exams, the BrightHeart AI software identifies suspicious findings suggestive of congenital heart defects through AI-powered evaluation of fetal heart morphology.

New research demonstrates that photon-counting computed tomography angiography (PC CTA) provides sensitivity, specificity, and accuracy rates of 90 percent and higher for the detection of stenotic disease in patients with peripheral artery disease (PAD).