Artificial intelligence in dentistry. Part one.
DOI:
https://doi.org/10.33295/1992-576X-2024-3-95Keywords:
Artificial intelligence, dentistry, periodontology, endodonticsAbstract
Summary. In recent years, dentistry has undergone a wave of transformations and technological advances, where artificial intelligence has become a driving force that is ready to revolutionize various aspects of oral care. As the world grapples with ever-increasing demand for efficient and personalized medical solutions, artificial intelligence presents itself as a promising ally in the quest to improve diagnostic accuracy, treatment planning and patient care in healthcare system, particularly in dentistry.
Purpose: to systematize and review the available data of research information for the period of 2020-2024 regarding the application of artificial intelligence technologies and their use in dental practice for various areas of dental activity.
Material and methods. A literature search was conducted on the PubMed service on February 26, 2024. The initial search was carried out using MeSH algorithms: (((«artificial intelligence»[MeSH Terms]) OR («artificial intelligence»[All Fields])) OR («ai»[All Fields])) AND («dentistry»[MeSH Terms]). Publications for the period 2020-2024 were considered. The initial search of the literature included 46 publications. After a detailed analysis of the selected publications, 26 publications, that met the needs, were left for further processing. Also added 6 publications manually, from other services, which disclosed the given topic. Accordingly, the total number of publications used for the analysis was 32 articles.
Research results. This research focuses on the growing intersection of artificial intelligence and dentistry with the goal of providing a comprehensive and reasonably up-to-date overview of the various applications, challenges, and opportunities that arise at the intersection of these fields. Through the selected articles, this study aims to explore the impact of artificial intelligence on diagnostic procedures, treatment methods and the overall principle of healthcare delivery using revolutionary technologies.
Conclusion. Artificial intelligence is increasingly included in the daily work of dentists, which requires a wider acquaintance with its capabilities in various fields of dentistry.
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References
Schwendicke F., Samek W., Krois J. Artificial Intelligence in Dentistry: Chances and Challenges. J Dent Res. 2020 Jul; 99(7): 769-774. doi: https://doi.org/10.1177/0022034520915714 Epub 2020, Apr 21. PMID: 32315260; PMCID: PMC7309354.
Ahmed N., Abbasi M.S., Zuberi F., Qamar W., Halim M.S.B., Maqsood A., Alam M.K. Artificial Intelligence Techniques: Analysis, Application, and Outcome in Dentistry-A Systematic Review. Biomed Res Int. 2021 Jun 22; 2021:9751564. doi: https://doi.org/10.1155/2021/9751564 PMID: 34258283; PMCID: PMC8245240.
Ossowska A., Kusiak A., wietlik D. Artificial Intelligence in Dentistry-Narrative Review. Int J Environ Res Public Health. 2022 Mar 15; 19 (6): 3449. doi: https://doi.org/10.3390/ijerph19063449 PMID: 35329136; PMCID: PMC8950565.
Bernauer S.A., Zitzmann N.U., Joda T. The Use and Performance of Artificial Intelligence in Prosthodontics: A Systematic Review. Sensors (Basel). 2021, Oct 5; 21 (19): 6628. doi: https://doi.org/10.3390/s21196628 PMID: 34640948; PMCID: PMC8512216.
Revilla-León M., Gómez-Polo M., Vyas S., Barmak B.A., Galluci G.O., Att W., Krishnamurthy V.R. Artificial intelligence applications in implant dentistry: A systematic review. J Prosthet Dent. 2023 Feb;129 (2): 293-300. doi: https://doi.org/10.1016/j.prosdent.2021.05.008 Epub 2021, Jun 16. PMID: 34144789.
Liu J., Chen Y., Li S., Zhao Z., Wu Z. Machine learning in orthodontics:Challenges and perspectives. Adv Clin Exp Med. 2021, Oct; 30 (10): 1065-1074. doi: https://doi.org/10.17219/acem/138702 PMID: 34610222.
Machoy M.E., Szyszka-Sommerfeld L., Vegh A., Gedrange T., Wo niak K. The ways of using machine learning in dentistry. Adv Clin Exp Med. 2020 Mar; 29 (3): 375-384. doi: https://doi.org/10.17219/acem/115083 PMID: 32207586.
Subramanian A.K., Chen Y., Almalki A., Sivamurthy G., Kafle D. Cephalometric Analysis in Orthodontics Using Artificial Intelligence-A Comprehensive Review. Biomed Res Int. 2022, Jun 16; 2022:1880113. doi: https://doi.org/10.1155/2022/1880113 PMID: 35757486; PMCID: PMC9225851.
Hung K., Montalvao C., Tanaka R., Kawai T., Bornstein M.M. The use and performance of artificial intelligence applications in dental and maxillofacial radiology: A systematic review. Dentomaxillofac Radiol. 2020, Jan; 49 (1): 20190107. doi: https://doi.org/10.1259/dmfr.20190107 Epub 2019 Aug 14. PMID: 31386555; PMCID: PMC6957072.
Karobari M.I., Adil A.H., Basheer S.N., Murugesan S., Savadamoorthi K.S., Mustafa M., Abdulwahed A., Almokhatieb A.A. Evaluation of the Diagnostic and Prognostic Accuracy of Artificial Intelligence in Endodontic Dentistry: A ComprehensiveReview of Literature. Comput Math Methods Med. 2023, Jan 31; 2023:7049360. doi: https://doi.org/10.1155/2023/7049360 PMID: 36761829; PMCID: PMC9904932.
Pethani F. Promises and perils of artificial intelligence in dentistry. Aust Dent J. 2021, Jun, 66 (2): 124-135. doi: https://doi.org/10.1111/adj.12812 Epub 2021, Jan, 17. PMID: 33340123.
Siddiqui T.A., Sukhia R.H., Ghandhi D. Artificial intelligence in dentistry, orthodontics and Orthognathic surgery: A literature review. J Pak Med Assoc. 2022, Feb; 72 (Suppl. 1) (2): S91-S96. doi: https://doi.org/10.47391/JPMA.AKU-18 PMID: 35202378.
Nguyen T.T., Larriv e N., Lee A., Bilaniuk O., Durand R. Use of Artificial Intelligence in Dentistry: Current Clinical Trends and Research Advances. J Can Dent Assoc. 2021, May; 87: l7. PMID: 34343070.
Bonny T., Al Nassan W., Obaideen K., Al Mallahi M.N., Mohammad Y., El-Damanhoury H.M. Contemporary Role and Applications of Artificial Intelligence in Dentistry. F1000Res. 2023, Sep, 20; 12:1179. doi: https://doi.org/10.12688/f1000research.140204.1 PMID:37942018; PMCID: PMC10630586.
Bichu Y.M., Hansa I., Bichu A.Y., Premjani P., Flores-Mir C., Vaid N.R. Applications of artificial intelligence and machine learning in orthodontics: a scoping review. Prog Orthod. 2021, Jul 5; 22(1):18. doi: https://doi.org/10.1186/s40510-021-00361-9 PMID:34219198; PMCID: PMC8255249.
Hung K.F., Yeung A.W.K., Bornstein M.M., Schwendicke F. Personalized dental medicine, artificial intelligence, and their relevance for dentomaxillofacial imaging. Dentomaxillofac Radiol. 2023, Jan 1; 52(1):20220335. doi: https://doi.org/10.1259/dmfr.20220335 Epub 2022, Dec, 12. PMID: 36472627; PMCID: PMC9793453.
Bianchi J., Mendonca G., Gillot M., Oh H., Park J., Turkestani N.A., Gurgel M., Cevidanes L. Three-dimensional digital applications for implant space planning in orthodontics: A narrative review. J World Fed Orthod. 2022, Dec; 11(6):207-215. doi: https://doi.org/10.1016/j.ejwf.2022.10.006 Epub 2022 Nov 15. PMID: 36400658; PMCID: PMC10214006.
Hung K., Yeung A.W.K., Tanaka R., Bornstein M.M. Current Applications, Opportunities and Limitations of AI for 3D Imaging in Dental Research and Practice. Int J Environ Res Public Health. 2020, Jun, 19; 17(12):4424. doi: https://doi.org/10.3390/ijerph17124424 PMID: 32575560; PMCID: PMC7345758.
Gili T., Di Carlo G., Capuani S., Auconi P., Caldarelli G., Polimeni A. Complexity and data mining in dental research: A network medicine perspective on interceptive orthodontics. Orthod Craniofac Res. 2021, Dec; 24 Suppl 2(Suppl 2):16-25. doi: https://doi.org/10.1111/ocr.12520 Epub 2021 Sep 14. PMID: 34519158; PMCID: PMC9292769.
Bornes R.S., Montero J., Correia A.R.M., Rosa N.R.D.N. Use of bioinformatic strategies as a predictive tool in implantsupported oral rehabilitation: A scoping review. J Prosthet Dent. 2023, Feb 129 (2): 322.e1-322.e8. doi: https://doi.org/10.1016/j.prosdent.2022.12.011 Epub 2023 Jan 27. PMID: 36710172.
Al Turkestani N., Bianchi J., Deleat-Besson R., Le C., Tengfei L., Prieto J.C., Gurgel M., Ruellas A.C.O., Massaro C., Aliaga Del Castillo A., Evangelista K., Yatabe M., Benavides E., Soki F., Zhang W., Najarian K., Gryak J., Styner M., Fillion-Robin J.C., Paniagua B., Soroushmehr R., Cevidanes L.H.S. Clinical decision support systemsin orthodontics: A narrative review of data science approaches. Orthod Craniofac Res. 2021, Dec; 24 Suppl 2 (Suppl 2):26-36. doi: https://doi.org/10.1111/ocr.12492 Epub, 2021, May, 24. PMID: 33973362; PMCID: PMC8988880.
Huang H., Zheng O., Wang D., Yin J., Wang Z., Ding S., Yin H., Xu C., Yang R., Zheng Q., Shi B. Chat GPT for shaping the future of dentistry: the potential of multi-modal large language model. Int J Oral Sci. 2023, Jul, 28; 15(1):29. doi: https://doi.org/10.1038/s41368-023-00239-y PMID: 37507396; PMid:37507396 PMCid:PMC10382494
Wenzel A. Radiographic modalities for diagnosis of caries in a historical perspective: from film to machine-intelligence supported systems. Dentomaxillofac Radiol. 2021, Jul, 1; 50 (5):20210010. doi: https://doi.org/10.1259/dmfr.20210010 Epub, 2021, Mar, 4. PMID: 33661697; PMCID: PMC8231685.
Minnema J., Ernst A., van Eijnatten M., Pauwels R., Forouzanfar T., Batenburg K.J., Wolff J. A review on the application of deep learning for CT reconstruction, bone segmentation and surgical planning in oral and maxillofacial surgery. Dentomaxillofac Radiol. 2022, Sep, 1; 51 (7): 20210437. doi: https://doi.org/10.1259/dmfr.20210437 Epub 2022, May, 23. PMID: 35532946; PMCID: PMC9522976.
Puladi B., Gsaxner C., Kleesiek J., Hölzle F., Röhrig R., Egger J. The impact and opportunities of large language models like ChatGPT in oral and maxillofacial surgery: a narrative review. Int J Oral Maxillofac Surg. 2024, Jan 53(1):78-88. https://doi.org/10.1016/j.ijom.2023.09.005 PMid:37798200
Carrillo-Perez F., Pecho O.E., Morales J.C., Paravina R.D., Della Bona A., Ghinea R., Pulgar R., Pérez M.D.M., Herrera L.J. Applications of artificial intelligence in dentistry: A comprehensive review. J Esthet Restor Dent. 2022, Jan; 34 (1): 259-280. doi: 10.1111/jerd.12844. Epub 2021 Nov 29. PMID: 34842324. 34: Umer F, Adnan S, Lal A. Research and application of artificial intelligence in dentistry from lower-middle income countries - a scoping review. BMC Oral Health. 2024, Feb, 12; 24(1):220. doi: https://doi.org/10.1186/s12903-024-03970-y PMID: 38347508; PMCID: PMC10860267.
Carrillo-Perez F., Pecho O.E., Morales J.C., Paravina R.D., Della Bona A., Ghinea R., Pulgar R., Pérez M.D.M., Herrera L.J. Applications of artificial intelligence in dentistry: A comprehensive review. J Esthet Restor Dent. 2022, Jan; 34(1): 259-280. doi: https://doi.org/10.1111/jerd.12844 Epub 2021 Nov 29. PMID: 34842324.
Goncharuk-Khomyn Myroslav, Igor Noenko, Alessandro Leite Cavalcanti, Özkan Adigüzel and Artem Dubnov. 2023. "Artificial Intelligence in Endodontics: Relevant Trends and Practical Perspectives". Ukrainian Dental Journal 2 (1): 96-101. https://doi.org/10.56569/UDJ.2.1.2023.96-101
Keskin C., Keleş A. Digital Applications in Endodontics. J. Exp. Clin. Med. May, 2021; 38(3s): 168-174. https://doi.org/10.52142/omujecm.38.si.dent.15
Ding H., Wu J., Zhao W., Matinlinna J.P., Burrow M.F. and Tsoi J.K.H. (2023) Artificial intelligence in dentistry - A review. Front. Dent. Med 4:1085251. doi: https://doi.org/10.3389/fdmed.2023.1085251 PMid:39935549 PMCid:PMC11811754
Thurzo A., Urbanová W., Novák B. et al. Where is the Artificial Intelligence Applied in Dentistry? Systematic Review and Literature Analysis. Healthcare (Basel). 2022; 10 (7):1269. Published 2022, Jul, 8. doi:10.3390/healthcare10071269.
Khanagar S.B., 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. 2023; 13(3):414. https://doi.org/10.3390/diagnostics13030414 PMid:36766519 PMCid:PMC9913920
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