Develops medical-grade AI solutions for radiology, including applications like BoneView for bone trauma X-ray interpretation and ChestView for detecting urgent findings and early cancer indicators in chest imaging. These tools improve diagnostic accuracy, automate time-consuming tasks, and are used in over 2,000 health institutions across 40+ countries, processing more than 30 million patient exams annually.
Funding
€36M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
AABFCGER+4Founders
Product
Problem
Radiologists face increasing workloads and time constraints, which can lead to oversight and diagnostic errors in medical imaging interpretation. Detecting subtle anomalies, such as bone fractures or early-stage cancer indicators, can be particularly challenging and time-consuming.
Solution
Gleamer provides AI-powered solutions designed to augment radiologists' capabilities, improve diagnostic accuracy, and accelerate workflow efficiency. The company's suite of AI tools, including BoneView and ChestView, assists in the detection of bone trauma, urgent chest findings, and early cancer indicators. Gleamer's solutions integrate seamlessly into existing radiology workflows, providing real-time decision support and highlighting areas of interest within medical images. By automating time-consuming tasks and improving the accuracy of image interpretation, Gleamer aims to enhance patient care and reduce the risk of missed diagnoses.
Target Audience
Gleamer's primary customers are radiologists, hospitals, and healthcare institutions seeking to improve diagnostic accuracy, increase efficiency, and enhance patient care through the use of AI-powered medical imaging solutions.
Features
- BoneView: AI-enhanced detection of fractures, effusions, dislocations, and bone lesions on X-rays.
- ChestView: AI-assisted identification of urgent findings (e.g., pneumothorax, pleural effusion) and early cancer indicators (e.g., nodules, mediastinal mass) on chest X-rays.
- BoneMetrics: Automated musculoskeletal measurements on X-ray and EOS acquisitions.
- BoneAge: Automated bone age assessment using the Greulich & Pyle atlas method.
- AI copilot: Holistic AI assistance across various medical imaging modalities.
- Integration with existing radiology workflows and systems.
- Algorithms trained on extensive databases, partly cross-referenced with CT scans.
- Continuous scientific validation through publications and clinical studies.