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CranioCatch
Module

Designed to streamline data annotation, CranioCatch Annotation
Module provides an advanced AI-assisted platform for labeling dental
radiographs with precision and efficiency.

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Trusted by over 50+
companies of all sizes

Upload. Analyze. View Results Instanly.

Fast and More Accurate
Diagnoses
for Your Patients

CranioCatch Clinic is an AI-powered clinical module specifically designed
for dentists, speeding up the diagnosis process, increasing accuracy,
and simplifying patient management.

Integrated Patient Tracking and

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Detection & Analysis of
100+ Findings with AI

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Evaluation of
Radiological Images

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Digital Revolution: Faster Diagnosis, Safer Treatment!

Increase Patient Understanding
with AI Powered Visual Presentations

By using CranioCatch's artificial intelligence to detect and highlight findings on radiographs, you
can create visual presentations that enhance patient comprehension. This leads to:

  • Clearer Communication

    Automatically detected findings are drawn directly onto the radiographs, making it easier for patients to see and...

  • Higher Treatment Acceptance

    By visually illustrating the problem areas, you can effectively communicate the necessity of treatment, increasing...

  • Increased Patient Trust

    Visual aids help patients feel more confident about their diagnosis and treatment plan.

  • Faster Decision-Making

    AI Insights provide a quick overview of critical areas, helping both you and your patients make informed decisions faster.

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Clearer Communication

Automatically detected findings are drawn directly onto the radiographs, making it easier for patients to see and understand their condition.

Increase Patient Understanding
with AI Powered Visual Presentations

By using CranioCatch's artificial intelligence to detect and highlight findings on radiographs, you
can create visual presentations that enhance patient comprehension. This leads to:

  • Upload the Radiological Image

    Upload your panoramic, bitewing, periapical or CBCT image.

  • Watch the AI Analyze

    The ArtificiaI Intelligence models automatically highlights critical findings.

  • Support Your Clinical Decision

    Review the reports and optimize your patient management.

  • 100% Web-Based – No Installation Required!

    Access seamlessly from any device, anytime, without the need for downloads or installations.

Product Image
Clearer Communication

Automatically detected findings are drawn directly onto the radiographs, making it easier for patients to see and understand their condition.

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AI Radiograph Analysis

Findings that you can detect with Artificial Intelligence in
child and adult radiographs.

Radiograph

Tooth Numbering

Bone Loss Meas.

Dental Problems

Jaw Pathologies

Periodontal Findings

Dental Restorations

Dental Implantology

Anatomical Formations

Frequently Asked Questions

Find answers to the most frequently asked questions
about CranioCatch.

1. What is CranioCatch, and what does it do?
CranioCatch is a platform that uses AI to analyze dental images to help in diagnostics.
2. How does CranioCatch work?
CranioCatch operates through a simple and effective three-step process. In the first step, users upload dental x-ray images or other relevant dental scans to the platform. These images are then processed by the system’s powerful artificial intelligence algorithms. In the second step, the AI analyzes the images using machine learning models trained on large datasets, identifying patterns, abnormalities, cavities, infections, or other potential health issues. Finally, the system quickly and accurately analyzes the findings, providing users with a detailed report.
3. Is CranioCatch only for dentists?
No, it can also be used by other healthcare professionals depending on the use case.
4. What image formats does CranioCatch support?
CranioCatch supports standard dental image formats such as JPG, PNG, and DICOM.
5. What is CranioCatch’s accuracy rate?
CranioCatch boasts a high accuracy rate, often exceeding 95% in clinical tests.
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Ücretlerimiz - CranioCatch

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CranioCatch
Demo Request.

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