Artificial intelligence as a prediction tool for orthognathic surgery assessment.
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| Title: | Artificial intelligence as a prediction tool for orthognathic surgery assessment. |
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| Authors: | de Oliveira PHJ; Department of Morphology, Genetics, Orthodontics and Pediatric Dentistry, School of Dentistry, São Paulo State University (Unesp), Araraquara, São Paulo, Brazil., Li T; Department of Radiology and Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA., Li H; Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA., Gonçalves JR; Department of Morphology, Genetics, Orthodontics and Pediatric Dentistry, School of Dentistry, São Paulo State University (Unesp), Araraquara, São Paulo, Brazil., Santos-Pinto A; Department of Morphology, Genetics, Orthodontics and Pediatric Dentistry, School of Dentistry, São Paulo State University (Unesp), Araraquara, São Paulo, Brazil., Gandini Junior LG; Department of Morphology, Genetics, Orthodontics and Pediatric Dentistry, School of Dentistry, São Paulo State University (Unesp), Araraquara, São Paulo, Brazil., Cevidanes LS; Department of Orthodontics and Pediatric Dentistry, University of Michigan, Ann Arbor, Michigan, USA., Toyama C; Private practice, São Paulo, São Paulo, Brazil., Feltrin GP; Private practice, Maringá, São Paulo, Brazil., Campanha AA; Private practice, Campinas, São Paulo, Brazil., de Oliveira Junior MA; Private practice, Campinas, São Paulo, Brazil., Bianchi J; Department of Morphology, Genetics, Orthodontics and Pediatric Dentistry, School of Dentistry, São Paulo State University (Unesp), Araraquara, São Paulo, Brazil.; Department of Orthodontics, University of the Pacific, Arthur A. Dugoni School of Dentistry, San Francisco, California, USA. |
| Source: | Orthodontics & craniofacial research [Orthod Craniofac Res] 2024 Oct; Vol. 27 (5), pp. 785-794. Date of Electronic Publication: 2024 May 07. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Blackwell Munksgaard Country of Publication: England NLM ID: 101144387 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1601-6343 (Electronic) Linking ISSN: 16016335 NLM ISO Abbreviation: Orthod Craniofac Res Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1601-6343 |
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| DOI: | 10.1111/ocr.12805 |
