RadNet Acquires See-Mode Technologies for AI-Driven Ultrasound Advancements
Deal News | Jun 04, 2025 | Globenewswire
RadNet, Inc., a leader in diagnostic imaging services, has acquired See-Mode Technologies, an innovator in AI-powered ultrasound diagnostics. This acquisition will see See-Mode's AI technologies for thyroid and breast ultrasound integrated into RadNet's DeepHealth solutions, enhancing diagnostic accuracy and clinical workflows. RadNet's deployment of See-Mode's techniques has already shown significant improvements in efficiency, with a 30% reduction in scan time. The acquisition positions RadNet as a leader in AI innovation, with plans to commercialize these solutions further and expand their application across its extensive network of imaging centers.
Sectors
- Healthcare Technology
- Medical Imaging
- Artificial Intelligence
Geography
- United States – RadNet is a U.S.-based company and much of the application and benefit of See-Mode's technology will impact the U.S. healthcare market.
- Singapore – See-Mode Technologies is headquartered in Singapore, indicating its relevance in the deal.
- Australia – See-Mode has significant operations in Australia and its technology is regulated for use there.
Industry
- Healthcare Technology – This industry involves companies that develop and provide technology solutions for the healthcare sector, particularly focused on improving medical procedures through innovation.
- Medical Imaging – Medical Imaging companies specialize in products and services that assist in the visualization of the interior of a body for clinical analysis and medical intervention.
- Artificial Intelligence – The article highlights AI's role in enhancing ultrasound diagnostics, a key application of technology within healthcare.
Financials
Participants
| Name | Role | Type | Description |
|---|---|---|---|
| RadNet, Inc. | Acquiring Company | Company | RadNet provides diagnostic imaging services and solutions in the U.S. |
| See-Mode Technologies PTE LTD | Target Company | Company | A company specializing in AI-powered ultrasound diagnostics with applications in thyroid and breast imaging. |
| DeepHealth | Subsidiary of RadNet | Company | RadNet's digital health segment focused on AI-powered health informatics and imaging. |
| Dr. Howard Berger | CEO of RadNet | Person | He oversees RadNet and its strategic acquisitions and technological advancements. |
| Dr. Milad Mohammadzadeh | Co-Founder of See-Mode | Person | A key figure in the development and application of AI in ultrasound imaging through See-Mode. |
| Kees Wesdorp | President and CEO of RadNet's Digital Health division | Person | Responsible for integrating digital health solutions within RadNet. |