
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

Real-World Study: Radiology AI Best in Emergency and Inpatient Settings
A commercial AI tool for intracranial aneurysm detection outperformed in inpatient and emergency settings but yielded limited benefits for outpatients in a major health system study.

AI Tool Cuts Radiologist Reporting Time for Chest CTs by 15%
Real-world study finds commercial AI for pulmonary nodule detection reduces chest CT reporting times by nearly 15%.

DeepHealth Secures FDA Clearance for Breast Ultrasound AI
DeepHealth's AI breast ultrasound software receives FDA clearance, promising improved lesion detection and workflow.