Henry Schein One's Image Verify cuts dental claim denials with real-time AI checks

Henry Schein One's Image Verify, built on Amazon SageMaker AI, addresses a costly pain point in dentistry: up to 20% of insurance claims are initially denied due to missing or low-quality X-rays, forcing patients to return for retakes. The system evaluates images at the point of capture using multiple machine learning models that assess sharpness, alignment, and completeness. It returns a quality score on a 1–5 scale within three seconds, enabling technicians to retake poor images immediately. This real-time feedback loop has already processed over 11 million X-rays across more than 10,000 active locations, with weekly volumes now exceeding 1.5 million and growing.

The architecture runs on Amazon SageMaker AI for inference and Amazon EKS for orchestration, designed to meet five strict requirements: latency under three seconds, high accuracy, scale for tens of thousands of concurrent locations, cost-efficient GPU inference, and consistent global performance. Henry Schein One went from concept in fall 2025 to production in months, scaling from 250 to over 10,000 practices within weeks of launch. The platform is now targeting 40,000 locations globally. Importantly, Image Verify is a quality solution, not a diagnostic one, which allowed rapid iteration without regulatory constraints. For dental practices, the impact is immediate: fewer claim denials, reduced patient callbacks, and a gamified tool that boosts technician engagement.