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Application of a Multi-Layer Perceptron in Preoperative Screening for Orthognathic Surgery
Natkritta Chaiprasittikul1, Bhornsawan Thanathornwong2, Suchaya Pornprasertsuk-Damrongsri3
1Department of Advanced General Dentistry, Faculty of Dentistry, Mahidol University, Bangkok, Thailand.
Healthcare Informatics Research
|February 15, 2023
Summary
New AI software accurately screens patients for orthognathic surgery, achieving 96.3% diagnostic agreement. This artificial intelligence tool aids in determining the necessity of orthognathic surgery for occlusal discrepancies.
Area of Science:
- Medical Imaging
- Artificial Intelligence in Healthcare
- Oral and Maxillofacial Surgery
Background:
- Orthognathic surgery corrects moderate to severe occlusal discrepancies.
- Preoperative screening and analysis are crucial for treatment planning.
- Accurate patient selection is vital for successful surgical outcomes.
Purpose of the Study:
- To develop AI-powered screening software for orthognathic surgery.
- To determine the necessity of orthognathic surgery using machine learning.
- To improve the efficiency and accuracy of preoperative assessments.
Main Methods:
- Utilized 538 digital lateral cephalometric radiographs.
- Employed Detectron2 for image analysis and segmentation.
- Developed a novel system using a keypoint region-based convolutional neural network (R-CNN) and an artificial neural network (ANN) for classification.
Main Results:
- The AI screening software achieved 96.3% diagnostic agreement with specialists.
- High accuracy (0.963), sensitivity (1), and precision (0.93) were reported.
- A confusion matrix indicated only 2 misdiagnosed cases out of 54.
Conclusions:
- AI-based screening using R-CNN and ANN demonstrates high diagnostic agreement for orthognathic surgery.
- The developed software serves as a reliable decision support system.
- This technology can enhance the preoperative evaluation process for orthognathic surgery.
