By the end of this email, you'll know how to show every patient the full treatment plan before they sit down, and see what that plan earns you per hour. But first, a story.
This email is presented to you by Aria
Aria turns your diagnosis into a complete treatment sequence in seconds: every visit, every step, every cost. Send it to your patient as a clear visual plan they can read at home, so there are no surprises in the chair.
Aria dental: Know what every chair hour earns. Before treatment begins.
And see what each plan earns you per hour of chair time, live as you edit. 100 dentists joined the last few days alone.
Some time ago, we posted on Reddit about something many of you had told us you were seeing: patients walking in with a diagnosis already in hand, courtesy of ChatGPT.
We expected a debate between dentists. AI or no AI, helpful or dangerous.
The post reached 63,000 views in 24 hours. But the comments went somewhere we didn't see coming.
Most of them were written by patients. And they weren't talking about AI at all.
What patients actually wrote
One patient went back for a simple recheck after an extraction. They got an X-ray, then learned it was the first step of an implant, and that they owed about $700. Nobody had talked options with them. Only after pushing back did they find out there were two other options they'd never been told about.
Another said their family had distrusted dentists for years, after "cavities" were found in perfectly healthy teeth (a second opinion confirmed there was nothing).
Read enough of these and a pattern appears. Patients don't turn to ChatGPT because they trust a chatbot more than their dentist. They turn to it because something was left unexplained.
When there's no clear explanation, patients fill the gap with suspicion.
And a few bad experiences, often with someone else, are enough to make them doubt the whole profession, including the honest dentists (which is most of you).
The good news: the tools feeding that suspicion are also the best tools you have to close the gap. Here are four ways to use them, in the order your patient experiences them.
1. Before the appointment: find out what they already "know"
Your patient has very likely typed their symptoms into ChatGPT the night before. So do the same.
Take 30 seconds, describe the case the way a patient would ("my lower left molar hurts when I drink cold water, my dentist wants to do a root canal"), and read the answer.
You're not checking if the AI is right. You're finding out which theory is walking into your office. Now you can address it directly instead of being caught off guard in the chair.
Once you know what they think, the next step is making sure they understand what you think.
2. During the explanation: speak their language
"Periapical radiolucency on 36, indicated for endodontic treatment" is precise. To a patient, it's noise, and noise sounds like a sales pitch.
Paste your clinical notes into ChatGPT or Claude with a prompt like:
"Explain this to a patient with no dental background, in 5 short sentences. Be reassuring but honest. No jargon."
You stay the expert. AI just removes the jargon between you and the patient. Use it for your verbal explanation, a follow-up email, or a printed summary.
But words only go so far. Some things a patient needs to see with their own eyes.
3. On the X-ray: show what an untrained eye can't see
To you, that shadow on the radiograph is obvious. To your patient, it's a grey image and your word against their doubt.
AI radiograph tools like Pearl or Overjet highlight caries, bone loss and calculus directly on the image, in color. The patient no longer has to take your word for it. They see what you see.
"There's a cavity here" is a claim. A highlighted lesion is evidence.
That covers the diagnosis. But remember the $700 story? Trust didn't break on the diagnosis. It broke on the next step.
4. After the diagnosis: show the whole road, not just the next step
What patients hate most isn't the price. It's discovering the next step, and the bill, once they're already in the chair.
They want to know why, how and when. Why this X-ray. Why this appointment. Why this price.
The fix is simple to describe: before you start, lay out the full treatment sequence and share it with the patient. Every visit, what happens at each one, how long it takes, what it costs.
Here's what that changes:
No surprises in the chair. The patient knows the next step before they walk in, so it never feels like an upsell.
Time to think at home. They can reread it, show their partner, and come back with questions instead of doubts.
Options on the table. Laying out the sequence forces the conversation about alternatives, the one the $700 patient never got.
Fewer second opinions. When the whole road is visible, there's much less gap left to fill with suspicion.
A clearer view for you too. A mapped sequence shows you chair time, lab delays and the real profitability of each plan, not just the first appointment.
Doing this by hand for every case takes time, which is why it rarely happens.
Actually, that's exactly why we built Aria (the one at the top of this email):
it generates the full sequence in seconds, you adjust it, and send it to your patient. It even shows what each plan earns you per hour of chair time as you edit. The US beta is free: ariadental.io
The takeaway
The patients in that thread weren't asking for less dentistry. They were asking to understand it.
AI didn't create the trust problem. But used well, it might be the easiest way to fix it.
Talk soon,
Salim,
DentAI
P.S. Has a patient ever walked in with a ChatGPT diagnosis? How did you handle it? Hit reply, we read every answer (and the best ones might make it into a future issue).
