RadNet, Inc., a prominent leader in outpatient diagnostic imaging services in the United States, has announced the successful acquisition of the French artificial intelligence firm Gleamer SAS. This strategic transaction marks a significant milestone in the healthcare technology sector by integrating Gleamer into RadNet’s wholly owned subsidiary, DeepHealth. Through this consolidation, the company establishes itself as the largest provider of radiology clinical AI solutions on a global scale.
Expanding a Global AI Powerhouse
The all-cash transaction is valued at approximately €230 million, which includes a post-closing milestone intended to reflect the high growth potential of the Paris-based company. Gleamer has demonstrated remarkable financial momentum, achieving a compound annual growth rate in recurring revenue exceeding 90% over the last three years. The combined entity now manages over 2,700 customer contracts across 44 countries, showcasing a massive international footprint.
A Comprehensive Multimodality Portfolio
This acquisition unites two industry leaders to create an unrivaled suite of clinical AI solutions that cover the most prevalent cancer types and chronic conditions. The integrated portfolio now supports a vast range of diagnostic needs across MR, CT, X-ray, mammography, and ultrasound modalities. DeepHealth will leverage Gleamer’s extensive library of FDA-cleared and CE-marked devices to provide automated detection and interpretation for musculoskeletal, lung, and neurologic applications.
Addressing Global Radiologist Shortages
The primary objective of this merger is to reengineer high-volume workflows to address the critical shortage of radiologists currently affecting healthcare systems worldwide. By implementing Gleamer’s automated reporting and triaging capabilities, DeepHealth aims to accelerate the interpretation of the most urgent medical cases. This technological integration is expected to allow clinicians to handle significantly higher reading volumes with improved accuracy and standardized reporting protocols.
Driving Operational and Cost Efficiencies
RadNet anticipates that the deployment of these AI capabilities across its expansive imaging network will lead to measurable productivity gains by the third quarter of 2026. X-ray imaging, which represents nearly one-quarter of the company’s total exam volume, is expected to see the most immediate benefits from these automated workflows. These enhancements are designed to optimize internal resource utilization while simultaneously reducing the overall cost of providing high-quality diagnostic care.
Shaping the Future of Intelligent Imaging
Kees Wesdorp, President and CEO of RadNet’s Digital Health Division, emphasized that this move defines a new standard of AI-powered care through large-scale automation. The acquisition not only adds a sophisticated research and development team to the DeepHealth roster but also strengthens its global commercial sales force. Both organizations are now positioned to influence the trajectory of medical imaging by making advanced diagnostics more accessible and efficient for patients.
As the healthcare industry continues to move toward cloud-native and AI-driven models, the union of RadNet and Gleamer sets a powerful precedent for enterprise-scale integration. The company will showcase its expanded portfolio at the upcoming European Congress of Radiology in Vienna to demonstrate its new capabilities to the medical community. This acquisition ultimately reinforces RadNet's commitment to transforming the radiology landscape through continuous innovation and a focus on superior patient outcomes.