AI-Assisted Early Dental
Caries Detection
A decision-support system that analyzes dental images, grades caries severity, and visually explains AI predictions for clinical support.
Capabilities
Precision Tools for Dental Professionals
Designed to augment clinical expertise, Cariex highlights potential areas of concern instantly, ensuring no detail goes unnoticed.
AI-Powered Grading
Utilizes advanced neural networks trained on thousands of annotated radiographs to accurately identify and grade the severity of carious lesions.
Visual Heatmaps
Provides instant visual explanations overlaying standard X-rays, drawing the clinician's eye directly to high-probability areas of decay.
Clinical Decision Support
Acts as an objective second opinion, helping to reduce diagnostic variability and improve early intervention strategies.
Workflow
How Cariex Works
A seamless, three-step process designed to fit perfectly into your existing diagnostic routine without causing delays.
Upload Radiograph
Securely upload cropped periapical dental radiographs in compatible formats.
AI Processing
Our model instantly scans the image, detecting anomalies and calculating confidence scores.
Clinical Review
Review the annotated heatmap overlays and incorporate the insights into your diagnosis.
Our Experts
The Minds Behind Cariex
Combining expertise in artificial intelligence, clinical dentistry, and human-centered design to redefine dental diagnostics.
Jeastel Mae Maratas
Project Manager & Developer
Drives project strategy and development timelines, coordinating between clinical experts and the engineering team to ensure successful feature delivery.
Yllana Mikhaila Paragoso
UI/UX & Frontend Engineer
Designs intuitive clinical interfaces and develops responsive frontend components, while stepping in to handle essential backend API integrations.
Mechell V. Torres-Paragoso, D.M.D
Clinical Advisor
Provides critical clinical oversight, ensuring that the system's diagnostic suggestions meet rigorous, real-world dental standards.
Hanz Chester Bacus
AI & Backend Engineer
Builds the robust, secure infrastructure required to process sensitive healthcare data and deploys the AI models for rapid X-ray analysis.