Panoramic Dental X-ray AI Project

DentalVision AI

A hands on project exploring how AI can be used with panoramic dental X-rays. I worked with dental image data, annotations, model training, predictions, and evaluation to understand how AI can support dental image review.

Explore the Project
DentalVision AI Logo
1,300+ Panoramic X-rays
Annotations Dental findings labeled and reviewed
Model Training Object detection model tested on dental images
Evaluation Predictions and model results reviewed

Exploring AI for Panoramic Dental X-rays

DentalVision AI is a hands-on project where I explored how artificial intelligence can be used with panoramic dental X-rays.

I worked with dental image data, annotations, model training, predictions, and evaluation. My goal was to understand how AI can support dental image review while keeping the dentist responsible for the final clinical decision.

AI Workflow

What I Worked On

1

Prepared and reviewed panoramic dental X-ray data.

2

Created and reviewed annotations for different dental classes.

3

Trained and tested an object detection model.

4

Reviewed predictions and model evaluation results.

What I Explored in DentalVision AI

This project explores how AI can be used with panoramic dental X-rays, from image annotation and model training to reviewing predictions and results.

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Panoramic X-ray Analysis

Analyzes panoramic dental X-rays to assist clinical image review.

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AI-Assisted Detection

Highlights potential findings that may require clinical attention.

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Clinical Support

Provides additional information to support dentists during image interpretation.

Efficient Workflow

Supports faster review of panoramic dental X-rays while keeping the dentist responsible for the final diagnosis.

My AI Project Workflow

I followed a simple workflow to prepare the dental X-ray data, train the model, and review its predictions.

1

Prepare Data

I worked with panoramic dental X-ray images and prepared the data for the project.

2

Annotation

I added and reviewed annotations for different dental classes.

3

Model Training

I trained and tested an object detection model using the prepared dental images.

4

Prediction & Evaluation

I reviewed the model predictions and evaluation results to understand its performance.

Tools Behind DentalVision AI

DentalVision AI was developed using an object detection workflow for panoramic dental X-rays, including image annotation, YOLOv11 model training, prediction testing, and performance evaluation.

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YOLOv11

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Panoramic Dental X-rays

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Image Annotation

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Object Detection

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Model Evaluation

Expected Benefits of DentalVision AI

DentalVision AI is designed to support panoramic dental X-ray analysis by assisting dentists during image review while maintaining clinical decision-making by the clinician.

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AI-Assisted Detection

Highlights potential findings in panoramic dental X-rays for clinical review.

More Efficient Review

May help dentists review panoramic dental images more efficiently by drawing attention to detected findings.

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Consistent Analysis

Applies the same trained detection approach across images to support a more standardized review process.

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Dentist-Led Decisions

Keeps interpretation and final clinical decisions in the hands of the dentist.

Engy Elgamal

Engy Elgamal

I am a dentist with over 25 years of clinical experience and a growing focus on artificial intelligence in healthcare. DentalVision AI brings these two areas together through an object detection project designed to explore AI-assisted analysis of panoramic dental X-rays.

Through this project, I worked on dental image preparation, annotation, modeltraining, prediction review, and performance evaluation. My goal is to continue developing practical AI skills and explore how technology can support dentists while keeping clinical interpretation and decision making in the hands of the clinician.

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