Podcast: Student Innovation Holds Promise for Breast Cancer Screening
Imagine a faster, inexpensive method for breast cancer screening. That’s some of the promise behind a new innovation from doctoral student, Sevan Goenezen, who has discovered a way to use ultrasound and advanced algorithms to differentiate between benign and malignant tumors.
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Sevan Goenezen, a student at the department of mechanical, aerospace, and nuclear engineering at Rensselaer Polytechnic Institute, researched nonlinear elasticity imaging for breast cancer diagnosis. Here Geonezen and his faculty advisor, Assad Oberai, discuss this innovation and what it could mean for breast cancer diagnosis, as well as diagnosis of other diseases.
What New Research Reveals About Novice Use of AI-Guided Cardiac Ultrasound
April 4th 2025In a study recently presented at the American College of Cardiology (ACC) conference, researchers found that novice use of AI-guided cardiac ultrasound after an AI-enabled electrocardiogram increased the positive predictive value for reduced left ventricular ejection fraction (LVEF) or aortic valve stenosis by 33 percent.
