Artificial Intelligence in intra operative and peri operative management of major oral and maxillofacial surgeries

Year : 2025 | Volume : 16 | Issue : 02 | Page : 1 5
    By

    Thenaruvi Marimuthu,

  1. Assistant Professor, Department of Oral and Maxillofacial Surgery, Ragas Dental College and Hospital, Tamil Nadu, India

Abstract

Artificial Intelligence and virtual reality are becoming a part of everyday life and are enhancing our quality of life extensively. It is only natural that the same shall be used in surgery also. The existing body of literature on artificial intelligence (AI) and its integration into various surgical specialties has been extensively reviewed and discussed in this article. These insights, though derived from broader surgical domains, can be effectively translated and adapted to the field of oral and maxillofacial surgery with minimal modifications. The versatility and scalability of AI-based technologies allow their seamless application in diagnostic, operative, and postoperative settings within this specialty. Furthermore, the article elaborates on both the advantages and limitations of incorporating AI into clinical practice. The benefits include enhanced diagnostic accuracy, improved surgical planning, and increased efficiency, while potential drawbacks such as ethical concerns, data privacy, and the need for clinician training are also acknowledged. In addition, this article delves into the emerging and future potential applications of AI, especially in intraoperative navigation, real-time surgical assistance, outcome prediction, and postoperative monitoring, thereby highlighting its transformative impact on the landscape of maxillofacial surgery.

Keywords: Artificial Intelligence, Oral Surgery, Peri operative, Intra operative, Maxillofacial Surgery

[This article belongs to Research and Reviews: A Journal of Dentistry ]

How to cite this article:
Thenaruvi Marimuthu. Artificial Intelligence in intra operative and peri operative management of major oral and maxillofacial surgeries. Research and Reviews: A Journal of Dentistry. 2025; 16(02):1-5.
How to cite this URL:
Thenaruvi Marimuthu. Artificial Intelligence in intra operative and peri operative management of major oral and maxillofacial surgeries. Research and Reviews: A Journal of Dentistry. 2025; 16(02):1-5. Available from: https://journals.stmjournals.com/rrjod/article=2025/view=209546


References

  1. Du W, Bi W, Liu Y, Zhu Z, Tai Y, Luo E. Machine learning-based decision support system for orthognathic diagnosis and treatment planning. BMC Oral Health. 2024 Feb 28;24(1):286. doi: 10.1186/s12903-024-04063-6. PMID: 38419015; PMCID: PMC10902963.
  2. De Oliveira PHJ, Li T, Li H, Gonçalves JR, Santos-Pinto A, Gandini Junior LG, Cevidanes LS, Toyama C, Feltrin GP, Campanha AA, de Oliveira Junior MA, Bianchi J. Artificial intelligence as a prediction tool for orthognathic surgery assessment. Orthod Craniofac Res. 2024 Oct;27(5):785-794. doi: 10.1111/ocr.12805. Epub 2024 May 7. PMID: 38715428.
  3. Eccher A, L’Imperio V, Pantanowitz L, Cazzaniga G, Del Carro F, Marletta S, Gambaro G, Barreca A, Becker JU, Gobbo S, Della Mea V, Alberici F, Pagni F, Dei Tos AP. Galileo-an Artificial Intelligence tool for evaluating pre-implantation kidney biopsies. J Nephrol. 2024 Oct 2. doi: 10.1007/s40620-024-02094-4. Epub ahead of print. PMID: 39356416.
  4. Marchis IF, Negrut MF, Blebea CM, Crihan M, Alexa AL, Breazu CM. Trends in preoperative airway assessment. Diagnostics (Basel). 2024 Mar 13;14(6):610. doi: 10.3390/diagnostics14060610. PMID: 38535030; PMCID: PMC10968937.
  5. Wang M, Yi G, Zhang Y, Li M, Zhang J. Quantitative prediction of postpartum hemorrhage in cesarean section on machine learning. BMC Med Inform Decis Mak. 2024 Jun 13;24(1):166. doi: 10.1186/s12911-024-02571-7. PMID: 38872184; PMCID: PMC11177388.
  6. Elgarba BM, Fontenele RC, Mangano F, Jacobs R. Novel AI-based automated virtual implant placement: Artificial versus human intelligence. J Dent. 2024 Aug;147:105146. doi: 10.1016/j.jdent.2024.105146. Epub 2024 Jun 22. PMID: 38914182.
  7. Paul P. The rise of artificial intelligence: Implications in orthopedic surgery. J Orthop Case Rep. 2024 Feb;14(2):1-4. doi: 10.13107/jocr.2024.v14.i02.4194. PMID: 38420225; PMCID: PMC10898706.
  8. Almarhoumi AA. Accuracy of artificial intelligence in predicting facial changes post-orthognathic surgery: A comprehensive scoping review. J Clin Exp Dent. 2024 May 1;16(5):e624-e633. doi: 10.4317/jced.61500. PMID: 38988747; PMCID: PMC11231886.
  9. Upreti G. Advancements in skull base surgery: Navigating complex challenges with artificial intelligence. Indian J Otolaryngol Head Neck Surg. 2024 Apr;76(2):2184-2190. doi: 10.1007/s12070-023-04415-8. Epub 2023 Dec 20. PMID: 38566692; PMCID: PMC10982213.
  10. Mangano FG, Yang KR, Lerner H, Admakin O, Mangano C. Artificial intelligence and mixed reality for dental implant planning: A technical note. Clin Implant Dent Relat Res. 2024 Oct;26(5):942-953. doi: 10.1111/cid.13357. Epub 2024 Jun 28. PMID: 38940681.
Regular Issue Subscription Review Article
Volume 16
Issue 02
Received 30/12/2024
Accepted 09/04/2025
Published 05/05/2025
Publication Time 126 Days
187

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