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Machine Learning Effectively Diagnoses Mandibular Deformity Using Three-Dimensional Landmarks.
Xu, Xuanang; Deng, Hannah H; Kuang, Tianshu; Kim, Daeseung; Yan, Pingkun; Gateno, Jaime.
Afiliação
  • Xu X; Postdoctoral Research Fellow, Department of Biomedical Engineering, Rensselaer Polytechnic Institute, Troy, NY.
  • Deng HH; Instructor, Department of Oral and Maxillofacial Surgery, Houston Methodist Research Institute and Academic Institute, Houston, TX.
  • Kuang T; Research Assistant, Department of Oral and Maxillofacial Surgery, Houston Methodist Research Institute, Houston, TX.
  • Kim D; Instructor, Department of Oral and Maxillofacial Surgery, Houston Methodist Research Institute and Academic Institute, Houston, TX. Electronic address: dkim@houstonmethodist.org.
  • Yan P; P.K. Lashmet Career Development Chair Associate Professor, Department of Biomedical Engineering, Rensselaer Polytechnic Institute, Troy, NY.
  • Gateno J; Chairman and Professor, Department of Oral and Maxillofacial Surgery, Houston Methodist, Houston, TX; Professor of Department of Surgery (Oral and Maxillofacial Surgery), Weill Medical College, Cornell University, New York, NY.
J Oral Maxillofac Surg ; 82(2): 181-190, 2024 02.
Article em En | MEDLINE | ID: mdl-37995761
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Prognatismo / Retrognatismo / Anormalidades Maxilomandibulares / Má Oclusão Classe III de Angle Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article
Texto completo
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XML
PubMed Links
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Prognatismo / Retrognatismo / Anormalidades Maxilomandibulares / Má Oclusão Classe III de Angle Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article