Diagnocat Review (2026)

What Is Diagnocat?

Diagnocat is a cloud-based AI platform that analyzes dental radiographic images — panoramic X-rays, bitewings, periapical radiographs, and CBCT scans — and produces detailed diagnostic reports. Founded in 2017 and headquartered in Miami, Florida, the company has grown to approximately 60 employees and has become one of the most widely adopted dental AI platforms in Europe.

The platform works by uploading images to Diagnocat's cloud, where AI algorithms analyze the data and return a structured report highlighting detected conditions, segmented anatomy, and — for CBCT scans — automated 3D STL models suitable for surgical planning. Reports for 2D images generate in under a minute; CBCT analyses take four to six minutes.

Diagnocat received FDA clearance for its CBCT visualization tool, opening the US market. The platform is hardware-agnostic — it works with images from any X-ray device, scanner, or CBCT unit that outputs standard DICOM or image files.

Key Features

2D Image Analysis

Diagnocat analyzes panoramic X-rays, bitewings, and periapical radiographs, detecting over 35 conditions including caries at initial, moderate, and advanced stages, calculus, bone loss, periapical pathology, and restoration issues. Reports are generated in under 60 seconds and include annotated images with detected findings clearly marked.

3D CBCT Analysis

This is where Diagnocat really separates itself. The platform reads over 65 dental conditions on CBCT images, including rare pathologies and non-dental findings like sinus issues and bone structure anomalies. The AI provides fully automated segmentation of DICOM files, turning raw CBCT data into navigable 3D visualizations with identified pathology.

Automated STL Model Generation

Diagnocat converts CBCT data into precise 3D STL models that can be exported directly into surgical planning software. This bridges the gap between diagnosis and treatment planning — you don't need a separate segmentation tool or manual STL creation workflow.

Radiological Reports

For practices that want a structured diagnostic report for case documentation or patient communication, Diagnocat generates comprehensive reports with notation capability. These reports can serve as a second-opinion tool for complex cases or as patient education material.

Cloud Storage & Collaboration

All data is stored in Diagnocat's cloud with sharing capabilities for multi-practitioner collaboration. The platform includes an STL viewer for reviewing 3D models directly in the browser.

What Users Actually Say

What people love

• Diagnostic thoroughness is impressive. Detecting 65+ conditions on CBCT scans — including non-dental findings — gives clinicians confidence they're not missing anything.

• Speed of analysis. A complete CBCT report in four to six minutes, and 2D reports in under a minute, fits naturally into clinical workflows.

• STL model generation saves hours. Automated segmentation from CBCT eliminates manual segmentation workflows that previously required separate software and significant time.

• Hardware-agnostic. Works with any imaging device — no vendor lock-in.

• Strong patient communication tool. The visual reports help patients understand their conditions and treatment recommendations.

What people note

• Requires reliable internet. As a cloud-based platform, upload speeds and connectivity directly affect workflow.

• CBCT report allocation is limited on lower tiers. Five CBCT reports per month on the 3D Practice plan may not be enough for busy practices.

• AI is a diagnostic aid, not a diagnosis. Like all dental AI, findings need clinical verification — the AI can flag false positives, especially on complex cases.

• European pricing in Euros. US practices need to account for currency conversion, which adds a small unpredictability to monthly costs.

• Relatively new to the US market. While widely adopted in Europe, Diagnocat's US presence and support infrastructure are still maturing.

Who Is Diagnocat Best For?

Great fit:

• Practices with CBCT units that want automated 3D analysis and STL model generation

• Multi-specialty offices needing comprehensive diagnostic screening across 2D and 3D modalities

• Clinicians who want a second-opinion AI tool for complex case detection

• Practices looking for a hardware-agnostic AI platform that works with their existing equipment

• Offices that value detailed patient-facing diagnostic reports

Better-tailored options exist for:

• Practices without CBCT who only need basic 2D AI analysis — Overjet or Pearl may be simpler

• Offices looking for AI integrated directly into their imaging software — DEXIS DEXassist or Sidexis offer embedded solutions

• Solo practitioners doing low scan volumes — the per-month subscription may not pencil out

• Practices needing real-time chairside AI detection rather than cloud-based batch reporting