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:: Volume 13, Issue 2 (6-2024) ::
Int J Med Invest 2024, 13(2): 1-8 Back to browse issues page
Artificial Intelligence In The Diagnosis And Treatment Of Dental Root Diseases; A Narrative Review
Solmaz Mohamadi , Asiyeh Dadgar *
Department of Operative Dentistry, School of Dentistry, Tabriz University of Medical Sciences, Tabriz, Iran.
Abstract:   (651 Views)
This narrative review explores the transformative impact of Artificial Intelligence (AI) on the diagnosis and treatment of dental root diseases. While AI models have yet to directly perform therapeutic procedures, their significant influence is witnessed across various dimensions of dental care. Focusing on endodontics, the integration of AI is examined, encompassing predictive capabilities for postoperative discomfort, enhanced diagnostic precision, and refined treatment planning. Neural network models exemplify the potential of AI to revolutionize dental diagnosis. Beyond predicting pain, AI's broader applications in patient management, diagnostic dentistry, and surgical interventions are discussed, promising to reshape the landscape of dental healthcare. The continuous evolution of AI models tailored for health sciences highlights their potential to elevate dental care standards, presenting a path toward enhanced patient outcomes and innovations in dental diagnostics and treatments.
 
Keywords: Endodontics, Dental root, AI, Treatments, Diagnosis.
Full-Text [PDF 407 kb]   (88 Downloads)    
Type of Study: Review | Subject: General
References
1. technology in endodontic instrumentation: advances in metallurgy and manufacture. British Dental Journal. 2021 Jul;231(1):49-57. 2. Kishen A, Peters OA, Zehnder M, Diogenes AR, Nair MK. Advances in endodontics: Potential applications in clinical practice. J Conserv Dent. 2016 May-Jun;19(3):199-206. doi: 10.4103/0972-0707.181925. PMID: 27217630; PMCID: PMC4872571. 3. Agrawal P, Nikhade P, Nikhade PP. Artificial intelligence in dentistry: past, present, and future. Cureus. 2022 Jul 28;14(7). 4. Hegde MN. Recent Advances in Endodontics–A Perspective Review. Journal of Clinical & Biomedical Research. 2021;3(2):1-3. 5. Persoon IF, Özok AR. Definitions and Epidemiology of Endodontic Infections. Curr Oral Health Rep. 2017;4(4):278-285. doi: 10.1007/s40496-017-0161-z. Epub 2017 Nov 8. PMID: 29201596; PMCID: PMC5688219. 6. León-López M, Cabanillas-Balsera D, Martín-González J, Montero-Miralles P, Saúco-Márquez JJ, Segura-Egea JJ. Prevalence of root canal treatment worldwide: A systematic review and meta-analysis. Int Endod J. 2022 Nov;55(11):1105-1127. 7. Essam O, Kasperek D, Boyle EL, Jarad F. The epidemiology of endodontic complexity in general dental practice: a prevalence study. British Dental Journal. 2022 Jul 5:1-7. 8. Persoon IF, Özok AR. Definitions and epidemiology of endodontic infections. Current Oral Health Reports. 2017 Dec;4:278-85. 9. Suganna M, Kausher H, Tarek Ahmed S, Sultan Alharbi H, Faraj Alsubaie B, Ds A, Haleem S, Meer Rownaq Ali AB. Contemporary Evidence of CAD-CAM in Dentistry: A Systematic Review. Cureus. 2022 Nov 20;14(11):e31687. doi: 10.7759/cureus.31687. PMID: 36561580; PMCID: PMC9767654. 10. Khajuria DK, Zahra SF, Razdan R. Effect of locally administered novel biodegradable chitosan based risedronate/zinc-hydroxyapatite intra-pocket dental film on alveolar bone density in rat model of periodontitis. Journal of Biomaterials Science, Polymer Edition. 2018 Jan 2;29(1):74-91. 11. Bin Irfan U, Aslam K, Nadim R. A review on CAD CAM in dentistry. Journal of the Pakistan Dental Association. 2015 Jul 1;24(3). 12. Susic I, Travar M, Susic M. The application of CAD/CAM technology in Dentistry. In IOP Conference Series: Materials Science and Engineering 2017 May 1 (Vol. 200, No. 1, p. 012020). IOP Publishing. 13. Abdullah, A., Muhammed, F., Zheng, B., Liu, Y. An Overview of Computer Aided Design/Computer Aided Manufacturing (CAD/CAM) in Restorative Dentistry. Journal of Dental Materials and Techniques, 2018; 7(1): 1-10. doi: 10.22038/jdmt.2017.26351.1213 14. Van Der Meer WJ, Vissink A, Ng YL, Gulabivala K. 3D Computer aided treatment planning in endodontics. Journal of Dentistry. 2016 Feb 1;45:67-72. 15. Susic I, Travar M, Susic M. The application of CAD/CAM technology in Dentistry. In IOP Conference Series: Materials Science and Engineering 2017 May 1 (Vol. 200, No. 1, p. 012020). IOP Publishing. 16. Tran D, Nesbit M, Petridis H. Survey of UK dentists regarding the use of CAD/CAM technology. British Dental Journal. 2016 Nov 18;221(10):639-44. 17. Sajjad A. Computer-assisted design/computer-assisted manufacturing systems: A revolution in restorative dentistry. J Indian Prosthodont Soc. 2016 Jan-Mar;16(1):96-9. doi: 10.4103/0972-4052.164905. PMID: 27134436; PMCID: PMC4832807. 18. Ezhov M, Gusarev M, Golitsyna M, Yates JM, Kushnerev E, Tamimi D, Aksoy S, Shumilov E, Sanders A, Orhan K. Clinically applicable artificial intelligence system for dental diagnosis with CBCT. Scientific Reports. 2021 Jul 22;11(1):15006. 19. Xu T, Zhu Y, Peng L, Cao Y, Zhao X, Meng F, Ding J, Liang S. Artificial intelligence assisted identification of therapy history from periapical films for dental root canal. Displays. 2022 Jan 1;71:102119. 20. Hiraiwa T, Ariji Y, Fukuda M, Kise Y, Nakata K, Katsumata A, Fujita H, Ariji E. A deep-learning artificial intelligence system for assessment of root morphology of the mandibular first molar on panoramic radiography. Dentomaxillofacial Radiology. 2019 Mar;48(3):20180218. 21. De Angelis F, Pranno N, Franchina A, Di Carlo S, Brauner E, Ferri A, Pellegrino G, Grecchi E, Goker F, Stefanelli LV. Artificial intelligence: A new diagnostic software in dentistry: A preliminary performance diagnostic study. International Journal of Environmental Research and Public Health. 2022 Feb 2;19(3):1728. 22. Başaran M, Çelik Ö, Bayrakdar IS, Bilgir E, Orhan K, Odabaş A, Aslan AF, Jagtap R. Diagnostic charting of panoramic radiography using deep-learning artificial intelligence system. Oral Radiology. 2022 Jul 1:1-7. 23. Gardiyanoğlu E, Ünsal G, Akkaya N, Aksoy S, Orhan K. Automatic Segmentation of Teeth, Crown–Bridge Restorations, Dental Implants, Restorative Fillings, Dental Caries, Residual Roots, and Root Canal Fillings on Orthopantomographs: Convenience and Pitfalls. Diagnostics. 2023 Apr 20;13(8):1487. 24. Fukuda M, Inamoto K, Shibata N, Ariji Y, Yanashita Y, Kutsuna S, Nakata K, Katsumata A, Fujita H, Ariji E. Evaluation of an artificial intelligence system for detecting vertical root fracture on panoramic radiography. Oral Radiology. 2020 Oct;36:337-43. 25. Gao X, Xin X, Li Z, Zhang W. Predicting postoperative pain following root canal treatment by using artificial neural network evaluation. Scientific Reports. 2021 Aug 26;11(1):17243. 26. Karobari MI, Adil AH, Basheer SN, Murugesan S, Savadamoorthi KS, Mustafa M, Abdulwahed A, Almokhatieb AA. Evaluation of the Diagnostic and Prognostic Accuracy of Artificial Intelligence in Endodontic Dentistry: A Comprehensive Review of Literature. Computational and Mathematical Methods in Medicine. 2023 Jan 31;2023. 27. Lai G, Dunlap C, Gluskin A, Nehme WB, Azim AA. Artificial intelligence in endodontics. Journal of the California Dental Association. 2023 Jan 1;51(1):2199933. 28. Aminoshariae A, Kulild J, Nagendrababu V. Artificial intelligence in endodontics: current applications and future directions. Journal of Endodontics. 2021 Sep 1;47(9):1352-7. 29. Khanagar SB, Alfadley A, Alfouzan K, Awawdeh M, Alaqla A, Jamleh A. Developments and Performance of Artificial Intelligence Models Designed for Application in Endodontics: A Systematic Review. Diagnostics (Basel). 2023 Jan 23;13(3):414.
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Mohamadi S, Dadgar A. Artificial Intelligence In The Diagnosis And Treatment Of Dental Root Diseases; A Narrative Review. Int J Med Invest 2024; 13 (2) :1-8
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Volume 13, Issue 2 (6-2024) Back to browse issues page
International Journal of Medical Investigation
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