AI Diagnosis in Dentistry: Case Acceptance Tool or Expensive Second Opinion?

The same software reading your X-rays chairside may be reading them again at the insurance company.

Straight answer first. Chairside dental AI (Overjet, Pearl, VideaHealth and a growing list of others) typically runs about $250 to $500 a month per location for a standard practice, based on published third-party pricing reviews. The best randomized trial on the question found that dentists using AI caught more caries on bitewings, with sensitivity rising from 72% to 81%, without a meaningful drop in specificity. One extra crown a month more than covers the subscription. The harder questions are about what "more findings" does to your treatment planning, and who else is using the same technology on your claims.

By Pete Volk. Pete has spent 25 years inside the equipment business with Pelton & Crane, DentalEZ, Benco, and DCI Edge.

From science project to standard equipment in five years

Dental AI moved faster than almost anything I've seen in this industry. The first FDA 510(k) clearance for an AI dental imaging tool went to Overjet in May 2021, for measuring bone levels. Pearl's Second Opinion was cleared in March 2022 for detecting pathology including caries, and Overjet's Caries Assist followed later that year. VideaHealth got its caries clearance around the same time.

By the end of 2025, according to an analysis by the regulatory firm Innolitics, the FDA had cleared 44 AI-powered dental software devices, 18 of them in 2025 alone. (Adoption has followed: see 43% of Dentists Now Use AI.)

For comparison, it took intraoral cameras the better part of a decade to go from novelty to standard. AI did it in about four years.

So here's the question every owner should be asking: is this a production tool, or a subscription I'm paying because everyone else is?

What the evidence actually says

Vendor case studies are marketing, and I read them that way. What I want is a controlled trial, and there's a good one.

In 2021, Mertens, Krois, Schwendicke and colleagues published a randomized trial in the Journal of Dentistry comparing dentists reading bitewings with and without AI support. Dentists using AI detected caries with a sensitivity of 0.81, versus 0.72 without it. That's a statistically significant jump, and specificity didn't change meaningfully. Put simply, AI helped dentists find more real lesions without flagging a pile of false ones.

Then came the part the brochures leave out. The researchers found the higher sensitivity "came with an increase in non-invasive, but also invasive treatment decisions."

Read that twice. AI helped dentists find more early lesions, which is good. Some of those early lesions got remineralization and monitoring, which is exactly what should happen. Some got drilled. Whether that second group needed it is a clinical judgment the software can't make for you.

I'll come back to that, because it's the most important part of this article.

The ROI math is almost too easy

Let's run it anyway.

At $250 to $500 a month, a year of AI costs $3,000 to $6,000 per location. A crown commonly runs $1,000 to $1,700 in fees without insurance, according to published ADA-percentile-based cost guides. So one additional crown a month covers the most expensive end of that range with room to spare. Even a couple of extra two-surface composites a month gets you most of the way there.

Owners who use AI well usually report the value in three places, and only one of them is detection:

Detection comes first, and the trial covers it.

Second, and I'd argue bigger, is the patient conversation. When a patient sees a colored outline around a lesion on the monitor, labeled by software, the conversation changes. Now there's a second, neutral set of eyes backing up the dentist. That consistency matters most in group practices and DSOs, where five providers might read the same film five different ways.

Third is calibration. An office where every provider's diagnosis gets checked against the same standard tends to drift less. For a DSO, that's a quality-assurance tool as much as a revenue one.

I won't give you a case-acceptance percentage here. Vendors publish them, and I haven't seen independent data I'd stake my name on. If a rep quotes you a number, ask for the study and who paid for it.

The ethics nobody puts in the demo

Here's where I get a little uncomfortable, and you should too.

More findings means more treatment opportunities. For a practice under production pressure, especially a PE-backed group with aggressive targets, that's a temptation dressed up as technology. The Mertens trial already showed AI nudging dentists toward more invasive decisions along with the conservative ones. Now put that software in an office where associates are paid on production and the regional manager is watching the dashboard.

AI finds shadows. Dentists decide what to do about them. The standard of care still says a small enamel lesion in a low-risk patient gets monitored, fluoride, and a recall, and plenty of those lesions never need a bur. Any practice that turns AI detections into automatic restorations is going to have a problem eventually, with patients, with the board, or with the payer. (We dug into the line between good case presentation and over-treatment in Treatment Acceptance Without Over-Treating.)

Which brings us to the payer.

The other side of the table

This part surprised me when I first dug into it. According to a 2026 review of Overjet on review.dental, citing reporting from PPO Advisors, Overjet runs a payer-side platform that reviews claims across more than 350 procedure codes for most of the ten largest U.S. dental insurers. The review's framing was pointed: "The same class of technology reading your x-rays chairside is reading them again at the payer."

By most accounts the chairside product is excellent. The payer platform is simply a business reality. Insurers are using AI to screen claims, and practices report denials that are hard to appeal. If your diagnosis and your documentation hold up to a machine read, you're fine. If the AI in your office flagged it and the AI at the insurer disagrees, you'd better have a clear film and a clear note.

My practical advice: whatever AI you choose, use it to make your documentation bulletproof. Annotated images attached to claims, clinical notes that match the findings. The software can protect you on the payer side if you use it that way.

Where this fits in the operatory budget

Of all the technology in this series, AI is the cheapest. No room, no plumbing, no shielding. Just a subscription and a login.

Cheap also means easy to pay for with the operatory savings from Article 2. The roughly $34,000 a six-room office saves at list price by choosing DCI Edge Series 4 over a comparable A-dec 300 build would fund AI at $500 a month for more than five and a half years, or at $250 a month for more than eleven. One chair decision, a decade of software.

It also pairs naturally with Article 4. Several of these platforms now read 3D images as well as 2D, which makes a CBCT more useful to a general dentist who isn't reading cone-beam volumes every day.

Five questions before you sign an AI contract

Ask the vendor exactly what their FDA clearance covers, and whether it applies to the image types and sensors you use. Ask for independent, peer-reviewed accuracy data, not a case study. Find out whether they also sell to insurers, and how your practice data is used. Nail down the contract term and the price per location, per provider, or per image, because the models differ. And decide before you install it how your office will handle early lesions the software flags, so the office runs on a written clinical protocol.

That last one matters more than the other four combined.

If you're building or remodeling, The AI-First Dental Office Design covers how to design operatories, monitors, and workflow around AI from day one. And for the ethical side of diagnosis in production-driven practices, keep an eye out for The Standard of Care, coming soon from DSI.

Up next in The Operatory Economy: Article 6 — Same-Day Dentistry: Scanners, Chairside Milling, and 3D Printing, by the Numbers.

More from DSI on this topic: 43% of Dentists Now Use AI. The Real Story Is Where They Won't. · Treatment Acceptance Without Over-Treating · Dentists Are Buying Software Instead of Operatories in 2026

Sources

• Mertens S, Krois J, Garcia Cantu A, Arsiwala LT, Schwendicke F. Artificial intelligence for caries detection: Randomized trial. Journal of Dentistry, 2021 (sensitivity 0.81 with AI vs. 0.72 without; specificity not significantly affected; increase in non-invasive and invasive treatment decisions). https://www.sciencedirect.com/science/article/abs/pii/S0300571221002724
• Innolitics, The Dental AI Revolution: A Comprehensive Analysis of 510(k) Clearances (2021–2025) (44 cleared dental AI devices; 18 in 2025; first clearances). https://innolitics.com/articles/dental-ai-510k-clearances-2025/
• Fierce Biotech, coverage of Overjet and VideaHealth caries-detection clearances (2022). https://www.fiercebiotech.com/medtech/fda-smiles-second-cavity-spotting-ai-month-clearance-overjets-tech
• review.dental, Overjet Review (2026) (pricing estimates of $250–$500/month; payer-side platform, citing PPO Advisors). https://review.dental/reviews/overjet
• Find The Norm, Average Dental Costs by Procedure (crown fees $1,000–$1,700). https://findthenorm.com/average-dental-costs
• Equipment prices: DCI Edge 2026 Equipment Order Guide; A-dec 2026 Dental Equipment Catalog (suggested retail), per Article 2.

Pricing for AI platforms is based on third-party estimates and varies by contract. Verify current FDA clearance scope with each vendor. ROI figures are illustrative DSI calculations.