State of the art and prospects for artificial intelligence in orthognathic surgery: A systematic review with meta-analysis

正颌外科 系统回顾 医学 最先进的 梅德林 计算机科学 外科 数据科学 政治学 法学
作者
Wilton Mitsunari Takeshita,Thaísa Pinheiro Silva,Laura Luiza Trindade de Souza,Josceli Maria Tenório
出处
期刊:Journal of Stomatology, Oral and Maxillofacial Surgery [Elsevier]
卷期号:125 (6): 101787-101787
标识
DOI:10.1016/j.jormas.2024.101787
摘要

To present a systematic review of the state of the art regarding clinical applications, main features, and outcomes of artificial intelligence (AI) in orthognathic surgery. The PICOS strategy was performed on a systematic review (SR) to answer the following question: "What are the state of the art, characteristics and outcomes of applications with artificial intelligence for orthognathic surgery?" After registering in PROSPERO (CRD42021270789) a systematic search was performed in the databases: PubMed (including MedLine), Scopus, Embase, LILACS, MEDLINE EBSCOHOST and Cochrane Library. 195 studies were selected, after screening titles and abstracts, of which thirteen manuscripts were included in the qualitative analysis and six in the quantitative analysis. The treatment effects were plotted in a Forest-plot. JBI questionnaire for observational studies was used to asses the risk of bias. The quality of the SR evidence was assessed using the GRADE tool. AI studies on 2D cephalometry for orthognathic surgery, the Tau2=0.00, Chi2=3.78, p=1.00 and I² of 0%, indicating low heterogeneity, AI did not differ statistically from control (p=0.79). AI studies in the diagnosis of the decision of whether or not to perform orthognathic surgery showed heterogeneity, and therefore meta-analysis was not peformed. The outcome of AI is similar to the control group, with a low degree of bias, highlighting its potential for use in various applications.
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