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

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Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.contributorUniversidade Estadual de Campinas (UNICAMP)-
Autor(es): dc.contributorUniversidade Federal de Sergipe (UFS)-
Autor(es): dc.contributorFederal Institute of São Paulo-
Autor(es): dc.creatorTakeshita, Wilton Mitsunari-
Autor(es): dc.creatorSilva, Thaísa Pinheiro-
Autor(es): dc.creatorde Souza, Laura Luiza Trindade-
Autor(es): dc.creatorTenorio, Josceli Maria-
Data de aceite: dc.date.accessioned2025-08-21T15:43:51Z-
Data de disponibilização: dc.date.available2025-08-21T15:43:51Z-
Data de envio: dc.date.issued2025-04-29-
Data de envio: dc.date.issued2024-11-30-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1016/j.jormas.2024.101787-
Fonte completa do material: dc.identifierhttps://hdl.handle.net/11449/308118-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/308118-
Descrição: dc.descriptionObjective: 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. Methods: 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. Results: 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. Conclusion: The outcome of AI is similar to the control group, with a low degree of bias, highlighting its potential for use in various applications.-
Descrição: dc.descriptionDepartment of Diagnosis and Surgery São Paulo State University (Unesp) School of Dentistry, São Paulo-
Descrição: dc.descriptionDepartment of Oral Diagnosis Division of Oral Radiology Piracicaba Dental School University of Campinas (UNICAMP), Sao Paulo-
Descrição: dc.descriptionDepartment of Dentistry Federal University of Sergipe, Sergipe-
Descrição: dc.descriptionDepartment of Information technology and health Federal Institute of São Paulo, São Paulo-
Descrição: dc.descriptionDepartment of Diagnosis and Surgery São Paulo State University (Unesp) School of Dentistry, São Paulo-
Idioma: dc.languageen-
Relação: dc.relationJournal of Stomatology, Oral and Maxillofacial Surgery-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectArtificial intelligence-
Palavras-chave: dc.subjectClinical decision support systems-
Palavras-chave: dc.subjectMachine learning-
Palavras-chave: dc.subjectOrthognathic surgery-
Título: dc.titleState of the art and prospects for artificial intelligence in orthognathic surgery: A systematic review with meta-analysis-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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