CranioCatch utilizes artificial intelligence algorithms to analyze 2D and 3D radiological images, providing rapid and accurate diagnoses for dental professionals. This technology enhances patient follow-up and treatment planning by delivering results within seconds, significantly improving the efficiency of clinical workflows.
Funding
Funding not disclosed
Founders
Product
Problem
Dental professionals face challenges in efficiently and accurately diagnosing conditions from 2D and 3D radiological images, which can impact patient follow-up and treatment planning. Manual analysis is time-consuming and prone to human error, potentially leading to delayed or incorrect diagnoses.
Solution
CranioCatch offers an AI-powered solution that automates the analysis of dental radiographs, providing rapid and precise diagnoses to enhance clinical workflows. The platform uses advanced artificial intelligence algorithms to analyze 2D and 3D radiological images, delivering results within seconds. By automating cephalometric analysis, cervical vertebral maturation analysis, and segmentation of teeth and anatomical structures, CranioCatch enables dental professionals to make faster and more reliable diagnoses. The AI-driven analysis helps dentists improve patient communication through personalized reports and systematic follow-up.
Target Audience
CranioCatch primarily targets dentists, orthodontists, and dental educators seeking to improve diagnostic accuracy, streamline workflows, and enhance patient care through AI-assisted analysis of radiological images.
Features
- AI-driven analysis of 2D and 3D dental radiographs
- Automatic cephalometric analysis
- Cervical vertebral maturation analysis
- Segmentation of teeth and anatomical structures via automatic thresholding over CBCT images
- Cloud-based radiograph archiving
- Customizable labeling tools for AI model development
- Reporting features for patient communication