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RadNet and Hologic Announce Collaboration to Advance the Development of Artificial Intelligence Tools in Breast Health
Collaboration will include data sharing, R&D and an upgrade of RadNet’s fleet of Hologic mammography systems to state-of-the-art imaging technology LOS
About this update from Radnet, Inc.
[{"type":"text","content":"Collaboration will include data sharing, R&D and an upgrade of RadNet’s fleet of Hologic mammography systems to state-of-the-art imaging technology\nLOS ANGELES and MARLBOROUGH, Mass., Aug. 06, 2020 (GLOBE NEWSWIRE) -- RadNet, Inc. (Nasdaq: RDNT), a national leader in providing high-quality, cost-effective, fixed-site outpatient diagnostic imaging services, and Hologic, Inc. (Nasdaq: HOLX), an innovative medical technology company primarily focused on improving women’s health, have entered into a definitive collaboration to advance the use of artificial intelligence (A.I.) in breast health.\n As the world leader in mammography, Hologic will contribute capabilities and insights behind its market-leading hardware and software, and will benefit from access to data produced by RadNet’s fleet of high-resolution mammography systems, the largest in the nation, to train and refine current and future products based on A.I. RadNet will share data from its extensive network of imaging centers, as well as provide in-depth knowledge of the patient pathway and workflow needs to help make a positive impact across the breast care continuum. The collaboration will enable new joint market opportunities and further efforts to build clinician confidence and develop and integrate new A.I. technologies. “We believe the future of breast health will rely heavily on the integration of A.I. tools, such as our 3DQuorum imaging technology, as well as next generation CAD software, that aid in the early detection of breast cancer,” said Pete Valenti, Hologic’s Division President, Breast and Skeletal Health Solutions. “We are energized by the opportunities this transformative collaboration with RadNet creates for patients and clinicians alike. Access to data is critical in training and refining A.I. algorithms. With this collaboration, we now have the opportunity to leverage data from the largest fleet of high-resolution mammography systems to develop new tools across the continuum of care, provide workflow efficiencies, and improve patient satisfaction and outcomes.” As part of its collaboration with Hologic, RadNet intends to upgrade its entire fleet of Hologic mammography systems to feature Hologic’s 3DQuorum™ imaging technology, powered by Genius AI™. This technology works in tandem with Clarity HD™ high resolution imaging technology to reduce tomosynthes...