Evaluation of artificial intelligence for airway analysis on cone beam computed tomography

IF 2 3区医学 Q2 DENTISTRY, ORAL SURGERY & MEDICINE

Oral Surgery Oral Medicine Oral Pathology Oral Radiology Pub Date : 2025-02-04 DOI:10.1016/j.oooo.2024.11.067

Dr. Rohan Jagtap , Dr. Aniket Jadhav , Dr. Avula Samatha , Dr. Sana Noor Siddiqui , Dr. Prashant Jaju

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引用次数: 0

Abstract

Aim

The aim of the study is to verify the success of an artificial intelligence model for the automatic airway segmentation on cone beam computed tomography (CBCT) images.

Materials and Methods

Three hundred CBCT images of adults were used in this study for airway assessment. The algorithm development was carried out using the Mask R-CNN ResNet 101 model. Both manual segmentation and an artificial intelligence (AI) system from Velmeni, Inc., were used for airway analysis. The airway analysis was determined by two oral and maxillofacial radiologists using Anatomage InVivo 3D software. Additionally, the convolutional neural network−based architecture was employed for airway volume detection. A comparison was made between the results obtained from the human observers and the artificial intelligence model.

Results

In evaluating the performance of the AI model for the segmentation of airway analysis, true positive, false positive, and false negative values were found to be 485, 18, and 23, respectively. Sensitivity, precision, and F1 score values were calculated as 0.9332, 0.9615, and 0.9766, respectively. The area under curve value was calculated as 0.8467.

Conclusion

The integration of the AI Mask R-CNN ResNet 101 model for airway analysis holds great promise in the decision support system for diagnostic accuracy, treatment planning, and overall treatment outcomes.

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来源期刊

Oral Surgery Oral Medicine Oral Pathology Oral Radiology DENTISTRY, ORAL SURGERY & MEDICINE-

CiteScore

3.80

自引率

6.90%

发文量

1217

审稿时长

2-4 weeks

期刊介绍： Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology is required reading for anyone in the fields of oral surgery, oral medicine, oral pathology, oral radiology or advanced general practice dentistry. It is the only major dental journal that provides a practical and complete overview of the medical and surgical techniques of dental practice in four areas. Topics covered include such current issues as dental implants, treatment of HIV-infected patients, and evaluation and treatment of TMJ disorders. The official publication for nine societies, the Journal is recommended for initial purchase in the Brandon Hill study, Selected List of Books and Journals for the Small Medical Library.