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Automated chart filing on panoramic radiographs using deep learning.

Shankeeth Vinayahalingam¹, Ru-Shan Goey², Steven Kempers³

¹Department of Oral and Maxillofacial Surgery, Radboud University Nijmegen Medical Centre, P.O. Box 9101, 6500 HB, Nijmegen, the Netherlands; Department of Artificial Intelligence, Radboud University, Nijmegen, the Netherlands; Department of Oral and Maxillofacial Surgery, Universitätsklinikum Münster, Münster, Germany.

Journal of Dentistry

|October 29, 2021

Summary

This summary is machine-generated.

This study introduces an AI model for automatically detecting, segmenting, and labeling dental structures on panoramic radiographs. The deep learning approach achieved high accuracy, paving the way for automated dental chart filing.

Keywords:

Artificial intelligence Computer-assisted diagnosis Deep learning Digital imaging/radiology Panoramic radiographs

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Area of Science:

Artificial Intelligence in Dentistry
Medical Imaging Analysis
Deep Learning Applications

Background:

Panoramic radiographs (PRs) are crucial for dental diagnostics.
Manual annotation of PRs is time-consuming and prone to errors.
Automating the analysis of PRs can improve efficiency and accuracy.

Purpose of the Study:

To develop an automated system for detecting, segmenting, and labeling dental structures on PRs.
To evaluate the performance of a deep learning model for this task.
To establish a foundation for automatic chart filing using PR analysis.

Main Methods:

A deep learning model (Mask R-CNN with Resnet-50) was employed.
The model was combined with heuristic and combinatorial search algorithms.
Training and validation were performed on 1800 PRs, with testing on 200 PRs.

Main Results:

The proposed method achieved high F1 scores: up to 0.993 for detection, 0.952 for segmentation, and 0.97 for labeling.
The model demonstrated strong accuracy in identifying teeth, crowns, fillings, root canal fillings, implants, and root remnants.

Conclusions:

The developed automated method shows significant promise for dental chart filing.
Deep learning can assist clinicians in summarizing radiological findings from PRs.
Further exploration of clinical practice impact is warranted.