Artificial intelligence in oral and maxillofacial surgery: A road ahead


Review Article

Author Details : Shallu Bansal*, Anil Managutti, Aishwarya Babhulkar, Neha Patel

Volume : 10, Issue : 4, Year : 2024

Article Page : 254-260

https://doi.org/10.18231/j.jooo.2024.050



Suggest article by email

Get Permission

Abstract

Artificial intelligence has emerged as a transformative force in the healthcare system. It has revolutionized the traditional approach to diagnosis, treatment planning, and surgical outcomes. Oral and Maxillofacial Surgery also stands at the forefront of this technological revolution by enhancing surgical procedures, optimizing treatment outcomes, and improving patient satisfaction. However, integrating AI into the healthcare system also presents unique challenges, including data privacy concerns, regulatory compliance issues, and the need for ongoing training for clinicians. This article provides a comprehensive overview of AI applications within Oral and Maxillofacial Surgery, highlighting key developments, challenges, and future directions.
 

Keywords: Artificial intelligence, Oral & maxillofacial surgery, Virtual surgical assistant, Three­dimensional planning, Predictive analysis, Innovation.


How to cite : Bansal S, Managutti A, Babhulkar A, Patel N, Artificial intelligence in oral and maxillofacial surgery: A road ahead. J Oral Med Oral Surg Oral Pathol Oral Radiol 2024;10(4):254-260


This is an Open Access (OA) journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.







Article History

Received : 02-09-2024

Accepted : 02-11-2024


View Article

PDF File   Full Text Article


Copyright permission

Get article permission for commercial use

Downlaod

PDF File   XML File   ePub File


Digital Object Identifier (DOI)

Article DOI

https://doi.org/ 10.18231/j.jooo.2024.050


Article Metrics






Article Access statistics

Viewed: 295

PDF Downloaded: 49