Research and Reviews: A Journal of Dentistry Review Article
Artificial Intelligence in intra operative and peri operative management of major oral and maxillofacial surgeries
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
References (10)
- 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;24(1). doi:10.1186/s12903-024-04063-6
- de Oliveira PHJ, Li T, Li H, Gonçalves JR, Santos‐Pinto A, Gandini Junior LG, et al. Artificial intelligence as a prediction tool for orthognathic surgery assessment. Orthodontics & Craniofacial Research. 2024;27(5):785-794. doi:10.1111/ocr.12805
- Eccher A, L’Imperio V, Pantanowitz L, Cazzaniga G, Del Carro F, Marletta S, et al. Galileo—an Artificial Intelligence tool for evaluating pre-implantation kidney biopsies. Journal of Nephrology. 2024;38(4):1163-1169. doi:10.1007/s40620-024-02094-4
- Marchis IF, Negrut MF, Blebea CM, Crihan M, Alexa AL, Breazu CM. Trends in Preoperative Airway Assessment. Diagnostics. 2024;14(6):610. doi:10.3390/diagnostics14060610
- Wang M, Yi G, Zhang Y, Li M, Zhang J. Quantitative prediction of postpartum hemorrhage in cesarean section on machine learning. BMC Medical Informatics and Decision Making. 2024;24(1). doi:10.1186/s12911-024-02571-7
- Elgarba BM, Fontenele RC, Mangano F, Jacobs R. Novel AI-based automated virtual implant placement: Artificial versus human intelligence. Journal of Dentistry. 2024;147:105146. doi:10.1016/j.jdent.2024.105146
- Institute of Advanced Orthopedics, M.O.S.C Medical College Hospital, Kolenchery, Ernakulam, Kerala, India., Paul P. The Rise of Artificial Intelligence: Implications in Orthopedic Surgery. Journal of Orthopaedic Case Reports. 2024;14(2):1-4. doi:10.13107/jocr.2024.v14.i02.4194
- Almarhoumi A. Accuracy of Artificial Intelligence in Predicting Facial Changes Post-Orthognathic Surgery: A Comprehensive Scoping Review. Journal of Clinical and Experimental Dentistry. 2024:e624-e633. doi:10.4317/jced.61500
- Upreti G. Advancements in Skull Base Surgery: Navigating Complex Challenges with Artificial Intelligence. Indian Journal of Otolaryngology and Head & Neck Surgery. 2023;76(2):2184-2190. doi:10.1007/s12070-023-04415-8
- Mangano FG, Yang KR, Lerner H, Admakin O, Mangano C. Artificial intelligence and mixed reality for dental implant planning: A technical note. Clinical Implant Dentistry and Related Research. 2024;26(5):942-953. doi:10.1111/cid.13357