Real-time dental image verification with Amazon SageMaker AI at Henry Schein One
AWS Machine Learning Troy Miller
Henry Schein One deployed Image Verify, an AI system built on Amazon SageMaker that evaluates dental X-ray quality in real time at the point of capture to reduce rejected insurance claims caused by poor image quality. The system reached over 10,000 active locations processing 1.5 million X-rays weekly with a median latency of 1.4 seconds and 0.01 percent error rate, achieved through GPU optimization and multi-region deployment. By catching low-quality images before patients leave, Image Verify reduces patient callbacks, improves claim acceptance, and eliminates costly retakes.
Why it matters
This post describes how Henry Schein One closed that gap by building Image Verify, an AI-powered quality verification system on Amazon SageMaker AI that evaluates dental X-ray quality at the point of capture, in real time, across thousands of locations. The system went from concept to over 10,000 active locations within months and has already processed over 11 million X-rays and growing at 1.5 million per week. Henry Schein One is now scaling toward 40,000 locations globally across four regions.