
RadNet has acquired ultrasound AI vendor See-Mode Technologies, aiming to enhance workflow efficiency and expand its imaging AI offerings.
Key Details
- 1RadNet completed the acquisition of See-Mode Technologies, an AI company focused on breast and thyroid ultrasound analysis.
- 2See-Mode's FDA-cleared thyroid solution is already deployed at some RadNet outpatient centers, showing a 30% reduction in scan times.
- 3Approximately 20 million ultrasound exams for thyroid and breast are performed annually in the US, highlighting a large addressable market.
- 4RadNet plans to integrate See-Mode’s products into its DeepHealth AI portfolio and market them to third parties.
- 5The deal follows earlier acquisitions of iCAD, Quantib, Aidence, and Kheiron by RadNet, further bolstering their AI division.
- 6Financial terms of the acquisition were not disclosed.
Why It Matters

Source
Radiology Business
Related News

In-House LLM Accurately Flags Critical Pediatric Radiology Findings
A locally deployed LLM system at Stanford Health achieved 99.7% sensitivity for detecting critical results in pediatric radiology reports, supporting workflow automation.

LLMs Rarely Recommend Unnecessary Imaging, Except for Thyroid Ultrasound
Large language models seldom over-recommend imaging, but thyroid ultrasound guidance shows substantial discrepancies.

Webinar to Showcase Successful AI Automation in Radiology Workflows
A webinar will provide insights from imaging leaders on expanding and optimizing AI-driven automation in radiology clinical workflows.