AI Radiograph Detection Rollout Across a 40-Office Dental Group
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Problem
Inconsistent radiograph diagnostics
A 40-office dental group across the US Southeast saw diagnostic consistency vary widely between clinicians. Early-stage caries and bone loss were being flagged at very different rates from one office to the next, second opinions took days over email, and there was no standard workflow for reviewing radiographs before treatment planning.
Solution
AI detection in every viewer
We integrated a regulator-cleared caries and bone-loss detection engine into the group's existing imaging viewer, rendering colour-coded overlays on every bitewing and panoramic radiograph. Around it we built the rollout workflow: a review queue with mandatory clinician sign-off, chairside presentation views, and a group-level dashboard tracking detection and treatment-acceptance rates across all 40 offices.
Measurable Impact
What changed after launch
Early-stage caries flagged on 12% more bitewing radiographs versus the pre-rollout audit baseline
All 40 offices onboarded to a standardised radiograph review workflow within 5 months
Cross-office second-opinion turnaround cut from days to under 4 hours via the shared review queue
Treatment acceptance for recommended restorative work rose from 46% to 58% with chairside overlays
Tech & Tools Used
What powered the build
Ready to Build your Dental Healthcare Business with Medical Image Analysis
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