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World’s First Automated and Wearable 3D Breast Ultrasound Enables Personalized Breast Imaging at POC

By MedImaging International staff writers
Posted on 05 May 2022
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Image: ATUSA system is the world’s first automated and wearable 3D breast ultrasound (Photo courtesy of iSono Health)
Image: ATUSA system is the world’s first automated and wearable 3D breast ultrasound (Photo courtesy of iSono Health)

A first-of-its-kind compact automated whole breast ultrasound system features a unique wearable accessory and intuitive software for automated image acquisition and analysis.

iSono Health, Inc.’s (San Francisco, CA, USA) ATUSA System for breast imaging is designed to offer enhanced efficiency, consistent accuracy and a comfortable patient experience. It uses ATUSA’s patented technology to make 3D breast ultrasound imaging accessible to patients and physicians at point of care. In just two minutes, the portable ATUSA system automatically scans the entire breast volume, independent of operator expertise, and offers 3D visualization of the breast tissue. The ATUSA system is designed from the ground up to seamlessly integrate with advanced machine learning models that will give physicians a comprehensive set of tools for decision making and patient management.

The ATUSA System for breast imaging has received U.S. Food and Drug Administration (FDA) clearance. Currently, iSono Health is conducting prospective case collection studies to further validate various deep learning models integrated with ATUSA software to aid clinicians in localization and classification of breast lesions.

"Clinicians and women worldwide need high quality breast imaging that is accessible and efficient at scale, without the need for highly skilled operators," said Maryam Ziaei, Ph.D., co-founder and CEO of iSono Health. "The portable and automated ATUSA system stands alone in comparison to other ultrasound offerings in promising to address that need. We are thrilled to be able to get ATUSA into the market and have the opportunity to help save lives."

“A portable and automated whole breast ultrasound augmented with machine learning would be the most practical technology to reduce breast cancer mortality globally, specifically in countries with limited resources. In developed countries, ultrasound has been proven effective as an adjunct to mammography to improve breast cancer diagnosis in women with dense breasts,” said Mohammad Eghtedari, M.D., Ph.D., a breast radiologist and an assistant professor at University of California San Diego. “I believe iSono Health’s automated and portable technology will improve access to breast care for women worldwide and empower physicians with insightful data to make more informed clinical decisions.”

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iSono Health, Inc. 

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