a Sample data contains 300 effective subjects and 5 raters. Sig: significance
Declarations
Acknowledgments
The authors would like to express their gratitude to the VELMENI, Inc. and to all the readers who have contributed to the study.
Author contributions
SY: Conceptualization, Investigation, Writing—original draft, Writing—review & editing. TC: Validation, Writing—original draft, Writing—review & editing. PRNN and SS: Validation, Writing—review & editing, Supervision. PK and SM: Validation, Writing—review & editing. PH: Writing—review & editing. All authors read and approved the submitted version.
Conflicts of interest
The authors declare no conflicts of interest to report regarding the present study.
Ethical approval
Sibar Institute of Dental Sciences Institutional Ethical Committee gave ethical approval. IEC Number: (Pr.172/IEC/SIBAR/2022-27/12/2022).
Consent to participate
According to the SIBAR Institute of Dental Sciences Institutional Ethical Committee, anonymised and de-identified images do not require patient consent.
Consent to publication
Not applicable.
Availability of data and materials
The datasets for this manuscript are not publicly available because of privacy/ethical restriction. Requests for accessing the datasets should be directed to the corresponding authors.
Open Exploration maintains a neutral stance on jurisdictional claims in published institutional affiliations and maps. All opinions expressed in this article are the personal views of the author(s) and do not represent the stance of the editorial team or the publisher.
References
Różyło-Kalinowska I. Panoramic radiography in dentistry.Clin Dent Rev. 2021;5:26. [DOI]
Turosz N, Chęcińska K, Chęciński M, Rutański I, Sielski M, Sikora M. Oral Health Status and Treatment Needs Based on Artificial Intelligence (AI) Dental Panoramic Radiograph (DPR) Analysis: A Cross-Sectional Study.J Clin Med. 2024;13:3686. [DOI] [PubMed] [PMC]
Lee JH, Han SS, Kim YH, Lee C, Kim I. Application of a fully deep convolutional neural network to the automation of tooth segmentation on panoramic radiographs.Oral Surg Oral Med Oral Pathol Oral Radiol. 2020;129:635–42. [DOI] [PubMed]
Delamare E, Fu X, Huang Z, Kim J. Panoramic imaging errors in machine learning model development: a systematic review.Dentomaxillofac Radiol. 2024;53:165–72. [DOI] [PubMed] [PMC]
Leite AF, Gerven AV, Willems H, Beznik T, Lahoud P, Gaêta-Araujo H, et al. Artificial intelligence-driven novel tool for tooth detection and segmentation on panoramic radiographs.Clin Oral Investig. 2021;25:2257–67. [DOI] [PubMed]
Sharma S. Artificial Intelligence in Dentistry: The Current Concepts and a Peek into the Future.Int J Contemp Med Res. 2019;6:5–9.
Turosz N, Chęcińska K, Chęciński M, Brzozowska A, Nowak Z, Sikora M. Applications of artificial intelligence in the analysis of dental panoramic radiographs: an overview of systematic reviews.Dentomaxillofac Radiol. 2023;52:20230284. [DOI] [PubMed] [PMC]
Zadrożny Ł, Regulski P, Brus-Sawczuk K, Czajkowska M, Parkanyi L, Ganz S, et al. Artificial Intelligence Application in Assessment of Panoramic Radiographs.Diagnostics (Basel). 2022;12:224. [DOI] [PubMed] [PMC]
Albano D, Galiano V, Basile M, Di Luca F, Gitto S, Messina C, et al. Artificial intelligence for radiographic imaging detection of caries lesions: a systematic review.BMC Oral Health. 2024;24:274. [DOI] [PubMed] [PMC]
Ezhov M, Gusarev M, Golitsyna M, Yates JM, Kushnerev E, Tamimi D, et al. Clinically applicable artificial intelligence system for dental diagnosis with CBCT.Sci Rep. 2021;11:15006. [DOI] [PubMed] [PMC]
Poedjiastoeti W, Suebnukarn S. Application of Convolutional Neural Network in the Diagnosis of Jaw Tumors.Healthc Inform Res. 2018;24:236–41. [DOI] [PubMed] [PMC]
Turosz N, Chęcińska K, Chęciński M, Lubecka K, Bliźniak F, Sikora M. Artificial Intelligence (AI) Assessment of Pediatric Dental Panoramic Radiographs (DPRs): A Clinical Study.Pediatr Rep. 2024;16:794–805. [DOI] [PubMed] [PMC]
Hung K, Montalvao C, Tanaka R, Kawai T, Bornstein MM. The use and performance of artificial intelligence applications in dental and maxillofacial radiology: A systematic review.Dentomaxillofac Radiol. 2020;49:20190107. [DOI] [PubMed] [PMC]
Ahmed N, Abbasi MS, Zuberi F, Qamar W, Halim MSB, Maqsood A, et al. Artificial Intelligence Techniques: Analysis, Application, and Outcome in Dentistry-A Systematic Review.Biomed Res Int. 2021;2021:9751564. [DOI] [PubMed] [PMC]
