Real-time dental image verification with Amazon SageMaker AI at Henry Schein One
Henry Schein One deployed an AI system on Amazon SageMaker to verify dental X-ray quality in real time across 10,000+ locations, processing over 11 million scans and scaling toward 40,000 sites globally.
- Henry Schein One’s Image Verify system uses Amazon SageMaker AI to verify dental X-ray quality in real time across 10,000+ locations.
- The system has processed over 11 million X-rays and is scaling toward 40,000 global locations.
- AI automation reduces retakes and improves diagnostic accuracy in dental workflows.
- Deployment took months, highlighting the speed of enterprise AI adoption in healthcare.
Henry Schein One, a dental technology provider, has implemented an AI-powered system called Image Verify on Amazon SageMaker AI to evaluate dental X-ray quality at the point of capture. The system operates in real time across thousands of dental offices, ensuring immediate feedback on image quality to prevent retakes and improve diagnostic accuracy.
Within months of development, the solution was deployed to over 10,000 active locations and has already processed more than 11 million X-rays, with the volume growing at 1.5 million scans per week. The company is now expanding the system to 40,000 locations globally across four regions, demonstrating the scalability and practical impact of AI in healthcare workflows.
The integration leverages Amazon SageMaker’s machine learning capabilities to automate a traditionally manual and error-prone process, reducing delays and improving the reliability of dental imaging for practitioners.
Demonstrates practical deployment of real-time AI verification systems using Amazon SageMaker.
Shows how AI can streamline healthcare workflows and improve operational efficiency.
Highlights scalable AI solutions in healthcare, a growing market with significant potential.
Proves AI’s real-world impact in improving medical imaging accuracy and reducing costs.
- Amazon SageMaker
- AWS cloud platform for building, training, and deploying machine learning models.
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