Smartphone Scan Classification for Remote Orthodontic Monitoring Across a 24-Clinic Group
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Problem
Weekly scans reviewed manually
A 24-clinic orthodontic group across the US and Canada asked patients to submit weekly smartphone scans of their teeth between visits. Every scan was reviewed manually by clinical coordinators, creating a backlog of thousands of photos per week, inconsistent triage decisions between clinics, and patients waiting days to hear whether their aligner treatment was on track.
Solution
Automated scan triage pipeline
We built an image recognition pipeline that classifies each smartphone scan for photo quality, aligner seating, and tracking status, automatically requesting retakes for unusable images and sorting the rest into review queues by urgency. Routine on-track scans are auto-acknowledged with templated guidance, while flagged cases route to clinicians with side-by-side scan history for rapid review.
Measurable Impact
What changed after launch
Median scan review turnaround cut from 3 days to under 8 hours across all 24 clinics
72% of routine on-track scans auto-acknowledged without coordinator involvement within 4 months of rollout
Unusable scan submissions fell from 19% to 6% after automated retake prompts at capture time
In-person progress visits per patient reduced by roughly 25% over a 12-month comparison period
Tech & Tools Used
What powered the build
Ready to Build your Dental & Orthodontics Business with Image Recognition & Classification
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