SonoSite launches China-based subsidiary

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 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.

Based off rapid magnetic resonance imaging (MRI), the AI-enabled MuscleView reportedly offers 3D analysis of muscle volume, muscle asymmetry and intramuscular fat.

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.

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.

Is it plausible that the current emphasis on spending what it takes to recruit and retain radiologists in a thriving job market shifts to more and more of a dependence on AI?