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GE HealthCare expands mammography collaboration with DeepHealth

by Gus Iversen, Editor in Chief | April 17, 2026
Women's Health
GE HealthCare is extending its collaboration with DeepHealth, a subsidiary of RadNet, to broaden access to AI-based breast cancer screening tools and expand their availability beyond the U.S.

The companies began working together in 2024, integrating DeepHealth’s software with GE HealthCare’s Senographe Pristina mammography platform. The latest phase adds international distribution and introduces additional workflow tools, including second-reader capabilities intended to support radiologists during image review.

At the center of the expansion is DeepHealth’s Breast Suite, a cloud-based set of applications designed to integrate into existing imaging systems. GE HealthCare plans to offer components of the suite alongside its Pristina Via platform. The package includes tools for cancer detection, automated breast density assessment, case prioritization, and reporting, along with features that flag potentially suspicious exams for faster review.
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New applications being added to the collaboration include ProFound Pro, which combines lesion detection and density assessment, and Safeguard Review, a workflow tool that identifies cases that may warrant additional evaluation. According to data cited by the companies, use of a multistage AI-driven workflow has been associated with a 21% increase in cancer detection compared with standard screening practices, with a higher increase reported among women with dense breast tissue.

GE HealthCare is also highlighting the collaboration alongside updates to its broader breast imaging portfolio at the Society of Breast Imaging’s 2026 symposium. These include a deep learning-based reconstruction technology for 3D mammography, an updated automated breast ultrasound system designed for large imaging networks, and enhancements to its LOGIQ ultrasound line.

The Chicago-based company said the expanded partnership is intended to support earlier detection and improve consistency in breast imaging workflows, as providers look to scale screening programs and manage increasing imaging volumes.

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