Real-time dental image verification with Amazon SageMaker AI at Henry Schein One
Machine Learning Blog
This article describes how Henry Schein One built Image Verify, an AI-powered dental X-ray quality verification system on Amazon SageMaker AI that provides real-time image quality assessment at the point of capture across thousands of dental practices.
- Evaluates dental X-ray quality in real-time using multi-model ML pipeline with 1.4-second median latency
- Deployed to over 10,000 active locations within months, processing 11+ million X-rays at 1.5 million per week
- Reduces insurance claim denials caused by poor image quality by catching issues before patient leaves
- Uses Amazon EKS for orchestration, SageMaker AI async inference, and AWS Cloud WAN for multi-region deployment
- Optimized GPU infrastructure by moving preprocessing to GPU, reducing fleet from 15 to 10 instances with improved latency
- Maintains 0.01% error rate and 70% GPU utilization with zero-downtime A/B deployments enabling daily optimization
Image Verify demonstrates how managed ML inference, aggressive pipeline optimization, and zero-downtime deployments enable real-time AI at healthcare scale.
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