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.
The proliferation of AI/ML services from cloud providers like AWS enables sector-specific applications to be rapidly developed and scaled by traditional industries looking for efficiency gains and quality control.
This illustrates the practical and immediate application of AI in conventional industries, specifically healthcare, driving efficiency, cost reduction, and quality assurance through real-time automation.
Dental practices can now integrate AI for real-time quality control of imaging, vastly improving diagnostic reliability and operational efficiency compared to manual review processes.
- · Henry Schein One
- · AWS
- · Dental healthcare providers
- · AI/ML service providers
- · Manual image verification services
- · Legacy dental imaging software
Real-time AI verification becomes a standard for dental imaging, improving diagnostic accuracy and staff productivity.
The success promotes wider adoption of AI in other medical imaging domains, standardizing automated quality control and accelerating diagnoses.
Patient outcomes improve due to earlier and more accurate identification of issues, while healthcare costs are optimized through reduced retakes and streamlined workflows.
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Read at AWS Machine Learning Blog