Building on the acquisition of Gleamer, DeepHealth showcases integrated portfolio across clinical AI, intelligent workflow and remote scanning solutions
PARIS, Oct. 8, 2026 – DeepHealth, Inc., a global leader in AI-powered health informatics and a wholly owned subsidiary of RadNet, Inc. (NASDAQ: RDNT), today introduced an expanded and integrated portfolio of solutions at the 2026 Journées Francophones de Radiologie (JFR), following the acquisition of Gleamer earlier this year. The new portfolio strengthens DeepHealth’s leadership in AI-powered imaging, bringing together the industry’s most comprehensive native clinical AI with intelligent workflow and performance analytics solutions across screening, diagnostic and acute care, to help advance a new standard of care. DeepHealth also extends impact across the imaging journey with remote scanning capabilities that can increase imaging capacity and patient access to advanced imaging.
Gleamer’s in-market expertise and technology leadership, particularly in X-ray, combined with DeepHealth’s global scale and broader clinical and operational portfolio, accelerate innovation and enable new and enhanced solutions that can help shape the future of intelligent imaging.
“At DeepHealth, we develop solutions together with radiologists and care teams, grounded in a deep understanding of the realities of healthcare in France and around the world,” said Kees Wesdorp, PhD, President and CEO of DeepHealth. “Our vision is to bring intelligence into every step of the imaging experience, uniting the right information, insight, automation and expertise to help care professionals do their best work, make the patient journey easier and advance a more proactive model of care.”
Healthcare in France is facing rising imaging demand and workforce pressures, reflecting challenges seen across healthcare systems globally. Between 2019 and 2024, MRI and CT volumes in community settings increased by 43% and 25%, respectively. A 2024 survey also found that 76% of 1,500 radiographers reported staff shortages in their departments.1
“As imaging volumes continue to rise, we need to support our teams in caring for more patients while maintaining quality of care,” said David Corcos, CEO of Groupe Résonance Imagerie. “We are excited about the integration of Gleamer into DeepHealth and the opportunities this brings for the future of radiology in France. Working with a partner that brings depth of expertise and breadth of clinical and operational solutions can help us develop and scale our use of AI and technology across our network of 65 imaging centers and hundreds of radiologists. This offers the potential to create a seamless experience for our teams, increase productivity and quality of care and make better use of our capacity.”
At JFR 2026, DeepHealth is highlighting capabilities designed to scale clinical intelligence across imaging while helping providers address capacity, workforce and access challenges.
One intelligent experience on one platform for enterprise-wide impact
DeepHealth’s Radiology AI Suite2 brings together native clinical AI with intelligent workflow and performance analytics solutions on one cloud-enabled platform, creating a more connected experience that can help enhance diagnostic confidence and drive operational efficiency.
Radiology AI Suite supports screening and diagnostic workflows spanning triage, detection, assessment, risk prediction and monitoring across prevalent cancers, neurodegenerative and musculoskeletal conditions and most core imaging modalities. With the integration of Gleamer, DeepHealth expands its leadership across routine imaging and high-impact acute diagnostic care.
Key Radiology AI Suite capabilities include:
- Comprehensive native clinical AI across modalities and clinical areas: The portfolio spans breast, thyroid, prostate, chest, brain, musculoskeletal, and abdomen and pelvis across MR, CT, X-ray, mammography and ultrasound.3 For health systems and imaging networks, this breadth can reduce reliance on fragmented, single-purpose AI tools by bringing capabilities together in one intelligent experience.
- Intelligent workflow tools: AI Orchestration, AI Worklist, AI Viewer, and Auto draft reporting capabilities are designed to bring AI findings and relevant intelligence into the tools radiologists use during interpretation and reporting, for greater standardization, consistency and efficiency.
- Performance analytics: Analytics tools turn AI data into actionable insights to understand utilization across sites and applications, monitor clinical findings and trends, and explore patterns to identify variation and opportunities.
- One gateway with modular integration: A single secure gateway helps simplify AI deployment and reduce IT complexity, allowing organizations to integrate capabilities into existing environments and expand across specialties and care settings over time.
Applications within Radiology AI Suite are proven at scale in real-world clinical settings, supporting more than 40 million AI-powered diagnoses each year. Deployed across 1,800+ cancer screening sites in Europe and the United States, these solutions are designed to help care teams detect disease earlier, improve consistency and work more efficiently.4
Intelligent remote scanning to extend expertise, capacity and access
Radiographers play a critical role in acquiring the images clinicians rely on for diagnosis. When experienced staff are in short supply or specific expertise is needed, imaging capacity and access to more complex procedures can be limited.
TechLive™ is a multimodality, secure, vendor-agnostic remote imaging and radiology management solution supporting MRI, CT, PET/CT and ultrasound. It connects remote radiographers with imaging systems and qualified local teams, allowing specialized expertise to be shared across sites to support complex exams, increase imaging capacity and expand access, while enabling consistent quality. Across active deployments, TechLive currently supports more than 25,000 remote scans each month and has demonstrated measurable operational impact, including a 42% reduction in MR room closure hours5 and a 27% increase in advanced breast MRI exams.6
Media Event and JFR Congress Details
DeepHealth will showcase its solutions at the 2026 Journées Francophones de Radiologie taking place on 8-10 October in Paris, France. Attendees can learn more about DeepHealth’s solutions at Booth FIA-12, Havane, Hall 3.
DeepHealth will also host a media event at JFR 2026 on 9 October at 10:30 a.m. CET to discuss the expanded portfolio, the integration of Gleamer and the company’s vision for the future of intelligent imaging in France.
About DeepHealth
DeepHealth is a wholly owned subsidiary of RadNet, Inc. (NASDAQ: RDNT) and serves as the umbrella brand for RadNet’s Digital Health segment. DeepHealth provides AI-powered health informatics with the aim of empowering breakthroughs in care through imaging. DeepHealth leverages advanced AI for operational efficiency and improved clinical outcomes in breast, chest, musculoskeletal, neuro, prostate and thyroid health. At the heart of DeepHealth’s portfolio is a cloud-native operating system – DeepHealth OS – that unifies data across the clinical and operational workflow. Thousands of imaging centers and radiology departments around the world use DeepHealth solutions to enable earlier, more reliable and more efficient disease detection, including in large-scale cancer screening programs. DeepHealth’s human-centered, intuitive technology aims to push the boundaries of what’s possible in healthcare. Learn more at deephealth.com.
DeepHealth Media Contact
Andra Axente
Director of Communications
+31614440971
[email protected]
References
- Inspection générale des affaires sociales (IGAS) and Inspection générale des finances (IGF). “Pertinence et efficience des dépenses de radiologie.” July 2025, pp. 9, 10 and 20. Accessed 2 October 2026.
- Radiology AI Suite comprises multiple applications across Breast, Neuro, Thyroid, MSK, Prostate, Thoracic and Abdominal Solutions. Any claims made about Radiology AI Suite or its solution areas are claims associated with their individual components and cleared applications.
- Availability of individual applications varies by market and regulatory status.
- Based on DeepHealth internal deployment data, 2026.
- Data on file. In a pilot deployment at 64 locations inside of RadNet’s New York area facilities, TechLive™ significantly contributed to a 42% decrease in MR room closure hours during the second quarter of 2025 as compared with the same period in 2024, allowing more patients to receive timely scans.
- Data on file. In a pilot deployment at 64 locations inside of RadNet’s New York area facilities, TechLive™ significantly contributed to a 27% increase in advanced breast MRI as a result of using DeepHealth’s TechLive™ remote scanning capability across 33 MR systems at RadNet NY centers since Feb. 2025.
