Real-time dental image verification with Amazon SageMaker AI at Henry Schein One
Henry Schein One has developed an artificial intelligence platform called Image Verify using Amazon SageMaker AI to assess dental X-ray quality instantly upon capture. The system expanded to more than 10,000 active sites within months and has processed over 11 million X-rays. Looking forward, the organization plans to expand the deployment across four global regions to reach 40,000 locations.
Key Takeaways
- Henry Schein One built a tool named Image Verify on top of Amazon SageMaker AI to review dental X-rays as soon as they are captured.
Designed to operate across thousands of facilities, the system provides immediate quality verification directly at the site of imaging.
- The transition from initial concept to deployment at over 10,000 active locations took only a few months.
The system has already handled over 11 million X-rays, with its workload expanding by 1.5 million images each week.
- The deployment strategy involves scaling up to approximately 40,000 locations globally across four regions.
Building real-time image analysis models on managed infrastructure demonstrates how healthcare organizations can quickly deploy scalable quality control tools into clinical workflows.
- Henry Schein One created Image Verify on Amazon SageMaker AI to evaluate dental X-ray quality at the point of capture.
The real-time evaluation tool quickly scaled from a concept to adoption across more than 10,000 active locations in just months.
- Operations are currently expanding toward 40,000 locations around the world spanning four distinct regions.
Stats & Key Facts
- #The system expanded to more than 10,000 active sites within months and has processed over 11 million X-rays.
- #The system has already handled over 11 million X-rays, with its workload expanding by 1.5 million images each week.
- #The platform has analyzed over 11 million X-rays and adds another 1.5 million processed images every week.
Henry Schein One built a tool named Image Verify on top of Amazon SageMaker AI to review dental X-rays as soon as they are captured. Designed to operate across thousands of facilities, the system provides immediate quality verification directly at the site of imaging. The transition from initial concept to deployment at over 10,000 active locations took only a few months.
The system has already handled over 11 million X-rays, with its workload expanding by 1.5 million images each week. The deployment strategy involves scaling up to approximately 40,000 locations globally across four regions. Building real-time image analysis models on managed infrastructure demonstrates how healthcare organizations can quickly deploy scalable quality control tools into clinical workflows.
Henry Schein One created Image Verify on Amazon SageMaker AI to evaluate dental X-ray quality at the point of capture. The real-time evaluation tool quickly scaled from a concept to adoption across more than 10,000 active locations in just months. The platform has analyzed over 11 million X-rays and adds another 1.5 million processed images every week.
For more details please read the original article at AWS Machine Learning.
Continue Learning
Comments
Comments appear only after moderation. Your email identifies your submission to the moderator and is never displayed here.
No approved comments yet.