PDF(Pubmed)
Abstract：
Artificial intelligence (AI), deep learning (DL), and machine learning (ML) are computer, machine, and engineering systems that mimic human intelligence to devise procedures. These technologies also provide opportunities to advance diagnostics and planning in human medicine and dentistry. The purpose of this literature review was to ascertain the applicability and significance of AI and to highlight its uses in maxillofacial surgery. Our primary inclusion criterion was an original paper written in English focusing on the use of AI, DL, or ML in maxillofacial surgery. The sources were PubMed, Scopus, and Web of Science, and the queries were made on the 31 December 2023. The search strings used were \"artificial intelligence maxillofacial surgery\", \"machine learning maxillofacial surgery\", and \"deep learning maxillofacial surgery\". Following the removal of duplicates, the remaining search results were screened by three independent operators to minimize the risk of bias. A total of 324 publications from 1992 to 2023 were finally selected. These were calculated according to the year of publication with a continuous increase (excluding 2012 and 2013) and R2 = 0.9295. Generally, in orthognathic dentistry and maxillofacial surgery, AI and ML have gained popularity over the past few decades. When we included the keywords \"planning in maxillofacial surgery\" and \"planning in orthognathic surgery\", the number significantly increased to 7535 publications. The first publication appeared in 1965, with an increasing trend (excluding 2014-2018), with an R2 value of 0.8642. These technologies have been found to be useful in diagnosis and treatment planning in head and neck surgical oncology, cosmetic and aesthetic surgery, and oral pathology. In orthognathic surgery, they have been utilized for diagnosis, treatment planning, assessment of treatment needs, and cephalometric analyses, among other applications. This review confirms that the current use of AI and ML in maxillofacial surgery is focused mainly on evaluating digital diagnostic methods, especially radiology, treatment plans, and postoperative results. However, as these technologies become integrated into maxillofacial surgery and robotic surgery in the head and neck region, it is expected that they will be gradually utilized to plan and comprehensively evaluate the success of maxillofacial surgeries.
摘要：
人工智能(AI)深度学习(DL)，机器学习（ML）是计算机，机器,以及模仿人类智能设计程序的工程系统。这些技术还提供了在人类医学和牙科中推进诊断和规划的机会。这篇文献综述的目的是确定AI的适用性和意义，并强调其在颌面外科中的用途。我们的主要纳入标准是用英语写的原始论文，重点是人工智能的使用，DL,或ML在颌面外科。消息来源是PubMed,Scopus,和WebofScience,查询时间为2023年12月31日。使用的搜索字符串是“人工智能颌面外科”，“机器学习颌面外科”，和“深度学习颌面外科”。删除重复项之后，其余的搜索结果由3名独立的操作者进行筛选,以将偏倚风险降至最低.最终选择了1992年至2023年的324种出版物。这些是根据连续增长的发布年份（不包括2012年和2013年）计算的，R2=0.9295。一般来说,在正颌牙科和颌面外科，AI和ML在过去几十年中越来越受欢迎。当我们包括关键词“颌面外科计划”和“正颌外科计划”时，出版物数量大幅增加到7535种。第一本出版物出现在1965年，并呈增长趋势（2014-2018年除外），R2值为0.8642。已发现这些技术可用于头颈部外科肿瘤学的诊断和治疗计划，美容和美容手术，和口腔病理学。在正颌手术中，它们被用于诊断，治疗计划,评估治疗需求，和头部测量分析，在其他应用中。这篇综述证实，目前AI和ML在颌面外科中的使用主要集中在评估数字诊断方法上，尤其是放射学,治疗计划,和术后结果。然而,随着这些技术集成到颌面手术和头颈部机器人手术中，预计它们将逐步用于计划和全面评估颌面手术的成功。
