Researchers continue to explore ways that AI can improve medical imaging, ultrasound included. And recent research initiatives show promise in AI ultrasound.
Lev Barinov, MD, and Hersh Sagreiya, MD, both from the University of Pennsylvania in Philadelphia, join this week's show to share insights from their collaborative and respective works.
UPenn was the site of the 2026 Society for Imaging Informatics in Medicine (SIIM)-CAIMI meeting, where researchers shared studies and perspective on where AI could go in radiology.
Lev Barinov, MD, shares his thoughts on AI's place in ultrasound practice for radiologists and sonographers.
Barinov and Sagreiya, both SIIM members, have worked on automated multiplanar reconstruction of the thyroid from ultrasound cine clips, as well as operationalizing AI in thyroid ultrasound. Respectively, their works have spanned liver, lung, and breast imaging among other areas.
In the episode, the two outline current challenges in AI ultrasound, including working with data, trust by radiologists, ensuring safety, and medicolegal considerations.
Watch the full episode below.
