Fetus Without Cerebellum

An emerging deep learning radiomics model, based on B-mode ultrasound and color Doppler flow imaging, demonstrated a 91 percent AUC for predicting lymphovascular invasion in a multicenter study of women with invasive breast cancer.

In this podcast episode, Dr. Shalom Kalnicki, from Montefiore and Albert Einstein College of Medicine, discusses the disparities minority patients face with cancer screenings and what can be done to increase access during the pandemic.

The artificial intelligence (AI)-powered applications reportedly allow clinicians to diagnose pulmonary edema and measure left ventricle ejection fraction within seconds.

Dr. Laurence Klotz discusses micro-ultrasound as a faster, less invasive, more cost-effective screening strategy compared to mpMRI in this podcast.

Strain imaging analysis is one of the automated parameters included in the newly FDA-cleared Us2.v2 software for adjunctive review of echocardiographic images.

The addition of Caption AI to the handheld ultrasound device Vscan Air SL may facilitate optimal imaging for point-of-care cardiac evaluation.