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- Mammography
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.
Mammography Study Suggests DBT-Based AI May Help Reduce Disparities with Breast Cancer Screening
December 13th 2024New research suggests that AI-powered assessment of digital breast tomosynthesis (DBT) for short-term breast cancer risk may help address racial disparities with detection and shortcomings of traditional mammography in women with dense breasts.
Mammography News: FDA Grants Expanded 510(k) Clearance for AI-Powered SmartMammo Dx DBT Software
November 29th 2024Originally cleared by the FDA in 2021, the SmartMammo Dx software for digital breast tomosynthesis (DBT) can now be utilized with the Senographe Pristina mammography systems from GE HealthCare.
FDA Clears AI-Powered Ultrasound Software for Cardiac Amyloidosis Detection
November 20th 2024The 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.
