Gleamer accelerates radiology AI innovation globally with Vertex AI and Google Cloud
Gleamer leverages Google Cloud infrastructure to provide scalable, AI-powered radiological image analysis across more than 2,500 institutions in 45 countries. The platform integrates Vertex AI models including Med-PaLM and Gemini to automate report generation and lesion detection, improving diagnostic accuracy by 30%. BigQuery and Google Kubernetes Engine support large-scale data processing and workflow optimization, enabling expansion into mammography and CT scans.
- Organization
- Gleamer
- Industry
- Healthcare
- Location
- France
- Published
- May 2026
Reported outcomes
+30%
accuracyQuality & accuracy
Strategic outcomes
Catalog median for quality & accuracy deployments: +90% across 270 reported metrics. Compare benchmarks →
Primary read
Use case focus
Showing 3 of 4
- 1AI-assisted medical imaging
- 2Diagnostic automation
- 3Cloud scalability
- Provide accurate, scalable AI solutions for radiological image analysis worldwide.
- Reduce radiologists’ workload by automating detailed reports and lesion detection.
- Expand product offerings while ensuring compliance and data security in healthcare environments.
- Partnered with Google Cloud using services such as Vertex AI, BigQuery, Google Kubernetes Engine, and Datastore.
- Integrated advanced AI models like Med-PaLM and Gemini to enhance diagnostic automation and reporting.
- Utilized Google Cloud's robust infrastructure and global data centers to support high data volumes and facilitate international expansion, especially in underserved areas.
- Supports over 2,500 public and private institutions across 45 countries with 35 million exams annually.
- Improved diagnostic accuracy by 30%, enabling general radiologists to perform at specialist levels.
- Accelerated automation of diagnostic report generation, reducing time and physician manual effort.
- Expanded product portfolio to cover other imaging modalities like mammography and CT scans.
- Enabled growth in new geographic markets leveraging Google Cloud’s infrastructure presence.
Sources & evidence1
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