Analysis of the generalizability of an artificial intelligence-based software for tomographic segmentation of posterior teeth-an external validation study.
Saved in:
| Title: | Analysis of the generalizability of an artificial intelligence-based software for tomographic segmentation of posterior teeth-an external validation study. |
|---|---|
| Authors: | Julião ELD; Department of Oral Diagnosis, Piracicaba Dental School, University of Campinas, Piracicaba, SP, 13414-903, Brazil., Adiverci GC; Dental Sciences Graduate Program, Federal University of Espírito Santo, Vitória, ES, 29047-105, Brazil., Fagundes FB; Department of Oral Diagnosis, Piracicaba Dental School, University of Campinas, Piracicaba, SP, 13414-903, Brazil., Leite AF; Department of Dentistry, University of Brasília, Brasília, DF, 70910-900, Brazil., Neves FS; Division of Oral Radiology, Department of Propaedeutics and Integrated Clinic, School of Dentistry, Federal University of Bahia, Salvador, BA, 40110-150, Brazil., Queiroz de Freitas D; Department of Oral Diagnosis, Piracicaba Dental School, University of Campinas, Piracicaba, SP, 13414-903, Brazil., Fontenele RC; Department of Stomatology, Public Oral Health and Forensic Dentistry, Division of Oral Radiology, School of Dentistry of Ribeirão Preto, University of São Paulo, Ribeirão Preto, 14040-904, Brazil., Jacobs R; OMFS-IMPATH Research Group, Department of Imaging and Pathology, Faculty of Medicine, KU Leuven & Department of Oral and Maxillofacial Surgery, University Hospitals Leuven, Leuven 3000, Belgium.; Department of Dental Medicine, Karolinska Institute, Stockholm, SE-141 04, Sweden., Haiter-Neto F; Department of Oral Diagnosis, Piracicaba Dental School, University of Campinas, Piracicaba, SP, 13414-903, Brazil., de-Azevedo-Vaz SL; Department of Oral Diagnosis, Piracicaba Dental School, University of Campinas, Piracicaba, SP, 13414-903, Brazil.; Dental Sciences Graduate Program, Federal University of Espírito Santo, Vitória, ES, 29047-105, Brazil. |
| Source: | Dento maxillo facial radiology [Dentomaxillofac Radiol] 2026 Jul 01; Vol. 55 (5), pp. 508-519. |
| Publication Type: | Journal Article; Validation Study |
| Journal Info: | Publisher: Oxford University Press Country of Publication: England NLM ID: 7609576 Publication Model: Print Cited Medium: Internet ISSN: 1476-542X (Electronic) Linking ISSN: 0250832X NLM ISO Abbreviation: Dentomaxillofac Radiol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
Be the first to leave a comment!
