About Gleamer SAS
Gleamer SAS is a French medtech company that specializes in developing AI-powered solutions for medical imaging. Their mission is to enhance diagnostic accuracy, improve workflow efficiency, and reduce the workload for radiologists. Gleamer’s AI solutions are designed to integrate seamlessly into existing radiology workflows, providing automated measurements, worklist prioritization, and reporting assistance across various modalities, including X-ray, computed tomography (CT), and magnetic resonance imaging (MRI).
The company’s comprehensive AI copilot, Gleamer Copilot, offers clinically validated applications that analyze millions of patient exams annually. These tools function as a gateway for deploying diagnostic algorithms that process medical data to identify abnormalities in bone, chest, breast, and neurological scans. Gleamer’s product portfolio includes BoneView for bone trauma detection, ChestView for thoracic pathology detection, BoneAge for pediatric bone age assessment, BoneMetrics for musculoskeletal measurements, and BreastView for lesion detection and triage in mammography. They have also expanded into neurological and musculoskeletal MRI capabilities through acquisitions. Gleamer’s solutions are FDA-cleared and CE-marked, demonstrating their adherence to international standards for medical devices.
Focus Areas
Business Intelligence
| Technology | Cloud-native architecture, Gleamer Copilot® |
What Physicians Need to Know
For physicians, Gleamer's AI solutions, integrated into their 'Copilot' platform, offer several advantages. They can expect improved diagnostic accuracy and productivity, with AI assisting in the detection and interpretation of X-rays, CTs, and MRIs. The tools are designed to save valuable time by automating tasks like musculoskeletal measurements and bone age assessment, and by generating automated reports. This allows radiologists to focus on higher-value clinical decisions. The AI acts as a safety net, helping to reduce missed anomalies and minimize errors, ultimately leading to enhanced patient care and reduced medico-legal risks. Gleamer's solutions are clinically proven, FDA-cleared, and CE-certified, ensuring reliability and compliance.
Gleamer's AI solutions are built for seamless integration into existing radiology workflows. Their 'GleamerOS' infrastructure unifies orchestration and product deployment with deep integrations into radiologists' RIS (Radiology Information System) and PACS (Picture Archiving and Communication System) and workstations. They offer flexible deployment options, including on-premise or cloud-based solutions, and are designed to connect effortlessly with PACS/RIS. The AutoReport feature is compatible with HL7/FHIR/DICOM SR standards, ensuring smooth and reliable integration with various healthcare data systems. Gleamer prioritizes security and compliance, with certifications like HIPAA and GDPR, and patient data pseudonymization.
What the Web Says
Gleamer SAS is a French company specializing in AI-powered medical imaging software, particularly known for its BoneView product which detects fractures on X-rays. The company was acquired by RadNet, Inc. in March 2026 and operates under RadNet's DeepHealth subsidiary. Gleamer's software aims to improve diagnostic accuracy, enhance workflow efficiency, and reduce human error in medical image analysis. While product reviews highlight its effectiveness in fracture detection, especially in emergency settings, some discussions on Reddit indicate concerns about false positives in pediatric X-rays.
Overall: PositiveStrengths
- Advanced AI algorithms enhance image quality and provide accurate interpretations.
- BoneView effectively detects fractures on radiographs, reducing undetected fracture rates.
- Improves diagnostic accuracy and workflow efficiency for healthcare professionals.
- Intuitive interface allows for effortless navigation, annotation, and secure sharing of images.
- Can prioritize reports and assist during nighttime care when radiologists' review might be delayed.
- Integrates seamlessly with existing medical imaging systems.
Limitations
- Some users on Reddit report concerns about false positives, particularly with BoneView in pediatric X-rays.
- AI can sometimes miss things and overcall others.
- Limited information available on employer reviews on major platforms like Glassdoor and Capterra.
- Details on newer reporting products like Voice and AutoReport, and their error reporting and review steps, are not clearly described.
- Training datasets for AI can be small, leading to potential data bias and privacy issues.
Based on reviews from: SoftwareWorld, AI Health Index, Gleamer Website, ITQlick, RadNet Press Release, PMC (PubMed Central), Gleamer Software Reviews (SoftwareWorld), Reddit, Fierce Biotech
Last updated: 2026-10-21
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