Signal Desk · an AI guide for dental practice owners

Owner signal.
Vendor noise out.

AI claims for dentistry, sorted. We put each claim next to what we could check, list the limits, and link every source. Sponsors are labeled, and no one buys a ranking.

Atmosphere photo · Christopher Gower / Unsplash · not a clinic photo.

On the desk · Did it work?

Radiograph AI for caries: more lesions found, and more drilling?

A randomized trial found AI support raised dentists' sensitivity for enamel caries on bitewings, and also raised invasive treatment decisions. We set that next to two FDA clearances and the vendors' own launch numbers.

Short answerPartly. Better at finding early enamel lesions in one trial, with a real risk of more invasive treatment.

  1. 1 Vendor case study
  2. 2 Operator-reported
  3. 3 Organization evaluation
  4. 4 Randomized trial

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Signal log

Dated briefs, sourced

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“AI can increase dentists’ diagnostic accuracy, mainly via increasing their sensitivity for detecting enamel lesions, but may also increase invasive therapy decisions.”
Mertens S, Krois J, Cantu AG, Arsiwala LT, Schwendicke F. “Artificial intelligence for caries detection: Randomized trial.” J Dent 2021;115:103849. Conclusion, quoted from the PubMed abstract.

Why this is on the front page. “Finds more” and “helps patients more” are different claims. Every case here keeps them apart: what the seller says, what we could check, and what is still unknown.

Did it work? More cases

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  1. Level 3Organization evaluation

    Ambient AI scribes: one year and 2.5 million uses, in medicine rather than dentistry

    For these physicians, mostly yes: less after-hours charting, and heavy users gained the most. The evidence we read did not test transfer to the dental chair.

  2. Level 1Vendor case study

    AI phones after hours: what the vendor case studies actually measure

    Unclear. The call and booking counts are believable signals. The dollar figures are vendor-calculated, with no baseline, no control period, and no cancellation data.

  3. Level 2Operator-reported

    DSO AI ROI: phones show-rate lift and revenue-cycle productivity

    Directionally encouraging. These are two operators' own numbers from a trade roundtable, with no baseline or denominator published.

How we weigh evidence

Every case is tagged with the strongest kind of source we used. A higher rung means stronger evidence. It does not mean a better product.

  1. 1 Vendor case study Written and published by the company selling the tool. Useful for what to ask; not proof.
  2. 2 Operator-reported A practice or group leader describing their own results, usually without a method section.
  3. 3 Organization evaluation A health system or group measuring its own rollout at scale, often published, rarely randomized.
  4. 4 Randomized trial Clinicians randomly assigned to use the tool or not, with an independent reference standard.

Details in the editorial policy.

Directory categories

Seven categories with sample listings. Every listing stays marked “unverified” until it is reviewed. Featured placements are paid and labeled.

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