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Home » RadNet closes iCAD acquisition, expands AI breast‑imaging portfolio

RadNet closes iCAD acquisition, expands AI breast‑imaging portfolio

July 18, 2025 By Danielle Kirsh

RadNet today announced it completed the purchase of iCAD, adding the breast-imaging AI developer to RadNet’s DeepHealth digital health division.

“We are excited to welcome the iCAD team to DeepHealth. The integration of iCAD further empowers DeepHealth to meet the real-world clinical needs of today, from improving the accuracy and early detection of breast cancer to orchestrating large-scale screening programs, while shaping the future of breast cancer management. Our combined capabilities position us for accelerated growth and rapid delivery of transformative, AI-powered population health solutions,” Kees Wesdorp, president and CEO of RadNet’s Digital Health segment, said in a news release.

iCAD’s software for cancer detection, risk evaluation, breast density analysis and arterial calcification assessment is installed at more than 1,500 provider sites in over 50 countries. DeepHealth will merge those tools with its own screening and diagnostic products to improve detection rates and streamline workflows.

RadNet said the combined platform will have the ability to interpret more than 10 million mammograms a year, extending AI‑enabled breast screening to a wider range of communities, including underserved areas.

Financial terms were not disclosed.

Filed Under: Business/Financial News, Imaging Tagged With: DeepHealth, iCad, RadNet

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About Danielle Kirsh

Danielle Kirsh is an award-winning journalist and senior editor for Medical Design & Outsourcing, MassDevice, and Medical Tubing + Extrusion, and the founder of Women in Medtech and lead editor for Big 100. She received her bachelor's degree in broadcast journalism and mass communication from Norfolk State University and is pursuing her master's in global strategic communications at the University of Florida. You can connect with her on Twitter and LinkedIn, or email her at [email protected].

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