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AI X-ray analysis for dentists: what it catches, what it costs, and how to start

An AI read on your radiographs is the most proven use of AI in dentistry today. Here's what it actually does, the difference between the FDA-cleared enterprise names and the affordable published-price options, and how to bring it in without a compliance headache.

What it does

What does AI X-ray analysis actually do?

AI radiograph analysis runs on your bitewings and periapicals and marks findings the eye can miss on a fast day: early interproximal decay, calculus, periapical radiolucency, and bone loss. It gives every image the same consistent second read, and it puts a clear picture on screen that helps you show the patient what you're seeing, which is where a lot of the case-acceptance value comes from.

It is decision support, not a diagnosis. The AI flags; you confirm, dismiss, or investigate. Used that way, it's a second set of eyes that never gets tired at 4pm, not a replacement for your training.

Compared

FDA-cleared enterprise names vs. affordable options

The two best-known names, Pearl (Second Opinion) and Overjet, are FDA-cleared and strong, Overjet in particular quantifies bone loss for insurance-grade documentation, but both are quote-only and marketed to groups and DSOs. VideaHealth is a third enterprise platform focused on standardizing the read across providers.

If you're a solo or small practice, Denti.AI is usually the right place to start: it reads X-rays from a published $49/mo ($99 with auto-charting), so you can pilot it on one operatory without a procurement process. Get an enterprise quote too if the FDA clearance or bone-loss measurement matters, then compare.

Compliance

How to roll it out without a compliance problem

Radiographs are PHI, so start with a signed Business Associate Agreement and a clear answer on how images are transmitted, stored, and deleted. Decide how the AI findings appear in your workflow, and make it a rule that a clinician reviews every flag before it reaches the chart or the patient.

Train the team on the difference between a flag and a finding, and on presenting the AI overlay as your diagnosis, not the software's. Our dental AI and HIPAA guide covers the checklist.

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