Department of Dentistry, AIIMS Bilaspur, Himachal Pradesh, India.
Department of Dentistry, AIIMS Bilaspur, Himachal Pradesh, India.
J Stomatol Oral Maxillofac Surg. 2022 Nov;123(6):e962-e972. doi: 10.1016/j.jormas.2022.06.027. Epub 2022 Jul 6.
Over the recent years, Artificial Intelligence (AI) has been progressing rapidly with its ability to mimic human cognitive functions. The potential applications of AI technology in diagnosis, treatment planning, and prognosis prediction have been demonstrated in various studies. The present scoping review aimed to provide an overview of AI and Machine Learning (ML) algorithms and their applications in orthognathic surgery. A comprehensive search was conducted in databases including PubMed, Embase, Scopus, Web of Science and OVID Medline until November 2021. This scoping review was conducted following the PRISMA-ScR guidelines. After applying the inclusion and exclusion criteria, a total of 19 studies were included for final review. AI has profoundly impacted the diagnosis and prediction of orthognathic surgeries with a clinically acceptable accuracy range. Furthermore, AI reduces the work burden of the clinician by eliminating the tedious registration procedures, thereby helping in efficient and automated planning. However, focussing on the research gaps, there is a need to foster the AI models/algorithms to contemporize their efficiency in clinical decision making, diagnosis and surgical planning in future studies.
近年来，人工智能（AI）在模仿人类认知功能方面取得了快速进展。在各种研究中已经证明了 AI 技术在诊断、治疗计划和预后预测方面的潜在应用。本范围综述旨在概述 AI 和机器学习（ML）算法及其在正颌外科中的应用。在 2021 年 11 月之前，我们在包括 PubMed、Embase、Scopus、Web of Science 和 OVID Medline 在内的数据库中进行了全面搜索。本范围综述遵循 PRISMA-ScR 指南进行。在应用纳入和排除标准后，共有 19 项研究被纳入最终综述。人工智能对正颌手术的诊断和预测产生了深远的影响，具有临床可接受的准确性范围。此外，人工智能通过消除繁琐的注册程序减轻了临床医生的工作负担，从而有助于实现高效和自动化的规划。然而，关注研究差距，需要在未来的研究中培养 AI 模型/算法，以提高其在临床决策、诊断和手术规划方面的效率。
