When colleagues ask "fine, but which tool actually reads scans?", Diagnocat is one of the first names that comes up — especially in Europe, where it is among the most widely deployed systems of its kind. In this review I go through what the platform verifiably does, its regulatory status, and what to check before you book a demo.
Transparency note: this review is based on the manufacturer's official documentation and independent sources (listed at the bottom). I have no partnership with Diagnocat and earn no commission.
What Diagnocat is
Diagnocat is a cloud platform that analyzes dental radiographs — periapical, bite-wing, panoramic and CBCT — and returns a report with annotated findings in under a minute. The company has been around since 2017, and the platform works with images from practically any device that outputs standard DICOM or image files — so it doesn't lock you into one equipment vendor.
What it does on 2D images
On panoramic, bite-wing and periapical radiographs the platform detects over 35 finding types, including:
- caries by stage (initial, moderate, advanced),
- calculus,
- alveolar bone loss,
- periapical pathology,
- issues with existing restorations.
The result is a scan with clearly marked zones — in practice, a "second pair of eyes" telling you where to look again. Why that principle is useful (and where its limits are) is covered in my article on AI and dental X-rays.
CBCT: where Diagnocat stands out most
Three-dimensional analysis is what Diagnocat is best known for:
- it reads over 65 finding types on CBCT scans, including non-dental ones (e.g. sinus changes),
- it performs automatic segmentation — converting CBCT into 3D STL models,
- it generates an Implant Report for 3D implant position planning and surgical guide workflows,
- it produces a structured radiology report you can attach to your records.
If you do implantology or endodontics with CBCT, this is the tool category that saves you time most directly — more on those uses in AI in implantology and AI in endodontics.
Regulatory status
- FDA clearance (US) for CBCT visualization/segmentation — per available sources, currently the only system with US clearance for automated segmentation.
- CE mark (EU) — among the most frequently deployed CE-marked systems in Europe.
- HIPAA and SOC 2 compliance.
If you practice outside the US/EU, availability and terms for your market are the first question to ask on a demo call.
What it costs
There is no public price list — pricing is subscription-based and set through a sales conversation (chairs, imaging volume, modules). That's standard for this category: Pearl and Overjet do the same. Before that call, work out your side of the equation — the savings calculator gives you a frame for how much time/money the tool needs to return to pay for itself.
What to watch out for
Scans go to the cloud. A radiograph linked to a patient is sensitive personal data. Before adopting, check where images are stored, whether they are used for further model training and how they are anonymized — a full question list is in my article on patient privacy and AI.
A finding is not a diagnosis. The platform marks probabilities; the diagnosis is yours, in the context of the exam and history. False positives and negatives exist in every system of this kind.
Ask for validation. Request independent clinical studies for the image types you use most — vendors have them and expect the question.
Who it makes sense for
- Practices with a CBCT unit — the biggest value is precisely the 3D analysis and segmentation.
- Implantologists — automatic STL models and planning.
- Larger practices with high imaging volume — the consistency of a "second pair of eyes" pays off most at scale.
For smaller practices without CBCT the math is thinner — start from the tools directory and assess what you actually need.
In short
- Diagnocat: 2D (35+ findings) and CBCT (65+ findings) analysis, STL segmentation, implant planning.
- FDA clearance for CBCT segmentation, CE mark in Europe, HIPAA/SOC 2.
- Pricing on request (subscription) — prepare your ROI math before the demo.
- Scans go to the cloud: review the data-processing agreement before adopting.
- Finding ≠ diagnosis: the decision and the responsibility stay yours.
For the bigger picture — where scan analysis fits in a practice's whole AI ecosystem — see the complete guide to AI in dentistry.
