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Artificial intelligence and dental treatment plans: a US case, read with caution

A dentist shows a tablet to a patient seated in the dental chair, with an assistant standing beside her, in a bright modern practice

A case study published by Overjet, a US company that sells artificial intelligence for dental diagnostics, claims that a practice in Florida increased same-day treatment plan acceptance by 566% after adopting its software alongside a second management tool. It's a striking number, and that's exactly why it's worth reading carefully before treating it as a benchmark.

What the case published by Overjet says

Midtown Dental Studio is a dental practice in Plantation, Florida, led by Dr. Dave Amador and Dr. Elizabeth Kerr. In the case published by Overjet on December 11, 2025, the practice reports, one year after adopting Overjet and the Practice by Numbers management software together: +566% in same-day treatment plan acceptance, +36% in collections, +17% in patient visits. The only methodological note in the document is that the increases are measured one year after both systems were installed.

Why that number alone isn't enough

The case study doesn't state what starting percentage the growth is measured from: a +566% increase can come from a tiny jump in absolute terms just as easily as from a substantial one, and without the starting point the two are indistinguishable. There's no control group, and the two software tools were adopted together, so the result can't be attributed to either one alone. It's also the only case, among those published by Overjet itself, showing a three-digit jump: the other cases on its site describe more modest increases, such as a 13-times return on investment for one practice, or a rise from 11% to 26% in treatment planning for another, the only one that also discloses the starting value. Overjet itself, in another publication, states an average increase of 25% for practices using its software: the Florida case is therefore more than twenty times above the average the same company reports, a sign that it's an isolated case, not a typical result.

It isn't a question of good faith: a vendor that publishes a case chooses the most favorable one among those available, not the representative one. That's simply how a marketing case study works by construction, a different logic from an independent study with a control group.

How many Italian dental practices already use artificial intelligence

On the Italian side, the picture is more modest. According to research conducted by AlfaDocs, a company that sells cloud management software for medical and dental practices, based on a sample of over 500 Italian healthcare facilities and published in mid-March 2026, 15.6% of Italian dental practices already use artificial intelligence regularly in their work. 45.4% would like to use it but haven't yet. It's worth knowing that the research is conducted by the same vendor that sells artificial intelligence features in its own management software, and no detailed methodology has been published, including the exact sample size by specialty. The name attached to it suggests an independent body, but the research remains vendor-led.

What this means for whoever decides

For someone running a dental practice and evaluating an artificial intelligence tool for communicating treatment plans, the useful question isn't whether striking numbers exist, but what to ask before signing: what starting value the case the vendor shows began from, how many patients or months the result is measured over, and whether other cases exist, beyond the most-cited one, with more modest and more transparent numbers. These are the same questions worth asking when evaluating any management software, not just diagnostic tools: I wrote about it in business management software, on what actually changes once you install one and how to tell a promise from a verifiable figure.

If you're evaluating a tool like this for your practice and want a second opinion before deciding, get in touch: I'll help you read the numbers a vendor shows you, not pick the most talked-about tool.

Frequently asked questions

Can artificial intelligence really increase treatment plan acceptance by 566% at a dental practice?

That's the number reported in a case study published by Overjet, a company that sells artificial intelligence for dental diagnostics, based on a single practice in Florida. The case doesn't state the starting percentage, has no control group, and the results are attributed to two software tools adopted together, not one alone. Overjet itself, in another publication, states an average increase of 25% for practices using its product: the Florida case is therefore more than twenty times above the average the company itself reports, a sign that it's an isolated case, not a typical result.

How many Italian dental practices already use artificial intelligence?

15.6%, according to research conducted by AlfaDocs, a company that sells cloud management software for medical and dental practices, based on a sample of over 500 Italian healthcare facilities, published in mid-March 2026. 45.4% would like to use it but haven't yet. It's research conducted by the same vendor that sells artificial intelligence features in its own management software, and no detailed methodology has been published: the name attached to it suggests an independent body, but the research is not independent.

Why is it worth being skeptical of case studies published by software vendors?

Not as a judgment on the good faith of whoever publishes them: it's simply how a marketing case study works by construction. A vendor chooses to tell the most favorable result among those available, not the average one, has no incentive to publish a disappointing figure, and rarely does anyone verify the case from the outside. That's why a single case study should be compared with other cases from the same vendor and with a stated average, not taken on its own as proof.

How do you seriously evaluate whether an artificial intelligence tool is worth the investment for a dental practice?

By asking the vendor what starting value each case they show began from, how many patients or months the result is measured over, and whether other cases exist with more modest but more transparent numbers. A vendor that discloses the starting point, as in the case of a practice that went from 11% to 26% in treatment planning, gives a verifiable figure: an isolated growth percentage, without that reference, does not.

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