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Independent · Evidence-based

AI in dentistry, decoded.

New studies keep claiming an algorithm can spot caries, plan an implant or read an X-ray as well as a specialist. Decadentry reads the paper, checks the numbers and explains what actually held up — for clinicians, students and curious patients.

Read the latest research How we check the evidence
  • One peer-reviewed study per article
  • Numbers checked against the paper
  • DOI and author credit on every post
32
peer-reviewed studies explained in plain language
7
clinical topics, from imaging to implants
4 checks
find, verify, translate and weigh — before anything is published
DOI
and author credit close every single article

Latest research

Fresh from the journals, explained.

Browse the full library

Explore by topic

Find the research that matters to your work.

Each topic collects our explainers in one place, newest first — a quick way to see where the evidence is strong and where it is still thin.

Diagnostics & ImagingHow AI reads dental radiographs, CBCT scans and photographs — from caries and oral cancer screening to osteoporosis, TMJ and age estimation.7 studies explained Endodontics & RestorativeAI for root canals, pulp therapy, crowns and shade matching — from finding a missed MB2 canal to designing a crown or picking a tooth colour from a photo.5 studies explained PeriodontologyAI for gum disease: detecting gingivitis from photos, staging periodontitis on radiographs and predicting who is at risk.4 studies explained OrthodonticsAI in orthodontics — automatic cephalometric landmarks, crowding checks from photos, clear-aligner outcome prediction and AI-generated treatment simulations, explained with their limits.4 studies explained Implants & Oral SurgeryAI and robotics in implant dentistry and oral surgery: CBCT-based implant planning, implant identification, nerve detection before wisdom-tooth removal and autonomous surgical robots.4 studies explained Generative AI & ChatbotsChatGPT, large language models and retrieval-augmented generation in dentistry: how accurate their answers are, when they hallucinate and whether they are safe for patients and clinicians to use.4 studies explained Ethics, Education & Patient CareThe human side of dental AI — trust and explainability, cost-effectiveness, dental education and the patient experience, including anxiety in children.4 studies explained AI in dentistry glossarySensitivity, AUC, U-Net, RAG — the terms in every AI paper, explained in plain English.Open the glossary

Our method

How a study becomes a Decadentry article.

Hype is cheap. Checking a methods section is not. Every explainer goes through the same four steps before it is published.

  1. Find

    We track new peer-reviewed papers on AI in dentistry through PubMed and the major dental journals — not press releases.

  2. Verify

    Every statistic is checked against the study’s methods and results. If a headline claim can’t be verified, it isn’t published.

  3. Translate

    We explain what was tested, on whom and how well — in plain language, with a custom figure for the key result.

  4. Weigh

    Each article sets the promise against the limits: validation, bias, cost, accountability and who gets access.

Read our editorial standards

Portrait of Hossein Boustani Hezarani, DDS, author of Decadentry
Hossein Boustani Hezarani, DDSFounder & editor, Decadentry

Who writes Decadentry

Written by a dentist who reads the methods section.

Decadentry is led by Hossein Boustani Hezarani, a dentist trained at Azerbaijan Medical University who researches how artificial intelligence is changing healthcare. He started Decadentry to close the gap between what AI papers report and what clinicians and patients actually need to know.

  • Doctor of Dental Surgery (DDS), Azerbaijan Medical University
  • Co-author of PubMed-indexed reviews on artificial intelligence in medicine
  • Contributing author to six books on AI in healthcare (2023–2026)
  • Builder of open-source dental tools — DentRx, OraCalm and OdontoAge
Meet the author See publications

FAQ

Questions readers ask.

Something else on your mind? Get in touch — we read every message.

What is Decadentry?

Decadentry is an independent publication that explains new peer-reviewed research on artificial intelligence in dentistry in plain language. Each article focuses on one study: what it tested, what it found, how strong the evidence is and what it means for patients and clinicians.

Who is it for?

Dentists, dental students, researchers and patients who want to understand AI in dentistry without the hype. Articles open with a 30-second summary, show the key numbers and end with separate takeaways for patients and clinicians.

How do you choose and check the studies?

We focus on recent peer-reviewed papers on AI in dental diagnostics, imaging, treatment planning, devices and education. Statistics are checked against the paper itself, and every article ends with the study’s DOI and author credit. Preprints are clearly labelled as not yet peer-reviewed.

Can AI replace my dentist?

Not on current evidence. Most dental AI tools are tested as assistants — flagging possible decay, bone loss or anatomy on images — and many have not yet been validated outside the clinic where they were developed. The research we cover consistently points to AI supporting clinical judgement, not replacing it.

Is Decadentry medical advice?

No. Our articles explain published research for educational purposes. They are not a substitute for a diagnosis or treatment plan from a qualified dental professional. See our medical disclaimer.

How often do you publish?

New explainers are published several times a week. Join the Decadentry Brief below to receive each one by email.