What To Know
- Hologic notes the new technology which the company has now made commercially available represents a pivotal milestone in the early detection of breast cancer, as studies showed Genius AI Detection software aids in the identification and early detection of breast cancer when used with the Genius 3D Mammography exam.
- It is the only deep learning product on the market that runs on the acquisition workstation of the mammography system without the need for a separate server, providing a simple, convenient and secure environment.
December 2, 2020
Hologic, Inc. (Marlborough, MA, USA) has received US Food and Drug Administration (FDA) clearance for its Genius AI Detection technology, a new deep learning-based software designed to help radiologists detect subtle potential cancers in breast tomosynthesis images.
Hologic notes the new technology which the company has now made commercially available represents a pivotal milestone in the early detection of breast cancer, as studies showed Genius AI Detection software aids in the identification and early detection of breast cancer when used with the Genius 3D Mammography exam. The new technology highlights areas with subtle potential cancers that can be difficult to detect for further examination by the radiologist, and is designed to provide higher sensitivity and a false-positive rate much lower than Hologic’s previous generation CAD products.
The new software delivers key metrics at the time of image acquisition to help radiologists categorize and prioritize cases by complexity and expected read time in order to optimize workflow and expedite patient care. It is the only deep learning product on the market that runs on the acquisition workstation of the mammography system without the need for a separate server, providing a simple, convenient and secure environment. The Genius AI Detection software is the only 3D CAD solution that supports Hologic’s latest innovations in tomosynthesis imaging, Clarity HD and 3DQuorum imaging technology, in addition to standard-resolution tomosynthesis.
