Publication Name	Artificial Intelligence in Medical Imaging
Manuscript ID	125115
Country	India

Category	Radiology, Nuclear Medicine & Medical Imaging
Manuscript Type	Retrospective Study
Article Title	Generative adversarial network-based data augmentation for diagnosis of jaw cysts and tumors in cone beam computed tomography
Manuscript Source	Invited Manuscript
All Author List	Sivan Sathish
Funding Agency and Grant Number
Corresponding Author	Sivan Sathish, Head, Professor, Department of Oral Medicine and Radiology, Teerthanker Mahaveer Dental College and Research Centre, Teerthanker Mahaveer University, Delhi Road, Moradabad 244001, Uttar Pradesh, India. drsivan.dental@tmu.ac.in
Key Words	Cone beam computed tomography; Generative adversarial network; Convolutional neural network; Jaw cysts and tumors; Artificial intelligence
Core Tip	Limited availability of three-dimensional cone beam computed tomography (CBCT) datasets remains a major barrier to artificial intelligence-based diagnosis of jaw lesions. This study demonstrates that a three-dimensional deep convolutional generative adversarial network can generate synthetic CBCT lesion volumes that meaningfully augment real clinical datasets. Incorporating these synthetic volumes into convolutional neural network training improved diagnostic performance for differentiating jaw cysts and tumors, achieving 85.9% accuracy and an area under the curve of 0.980. These findings support generative adversarial network-based augmentation as a practical strategy for strengthening artificial intelligence-assisted diagnosis in oral and maxillofacial radiology.
Citation	Sathish S. Generative adversarial network-based data augmentation for diagnosis of jaw cysts and tumors in cone beam computed tomography. Artif Intell Med Imaging 2026; In press

Received	2026-07-01 06:00
Peer-Review Started	2026-07-01 06:01
First Decision by Editorial Office Director
Return for Revision	2026-08-04 08:24
Revised	2026-08-16 16:33
Publication Fee Transferred
Second Decision by Editor	2026-09-17 02:42
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director	2026-09-17 09:40
Articles in Press	2026-09-17 09:40
Edit the Manuscript by Language Editor
Typeset the Manuscript

ISSN	2644-3260 (online)
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