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How reliable are AI-Assisted cephalometric programs in assessing measurements involving bilateral landmarks?

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19 giu 2025
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Broadbent BH. A new X-ray technique and its application to orthodontia. Angle Orthodontist. 1931; 1:45–66. Broadbent BH. A new X-ray technique and its application to orthodontia . Angle Orthodontist . 1931 ; 1 : 45 66 . Search in Google Scholar

Hofrath H. Die bedeutung der roentgenfern der kiefer anomalien. Fortschr Orthodontic. 1931; 1:232–48. Hofrath H. Die bedeutung der roentgenfern der kiefer anomalien . Fortschr Orthodontic . 1931 ; 1 : 232 48 . Search in Google Scholar

Baumrind S, Frantz RC. The reliability of head film measurements 1 Landmark identification. Am J Orthod. 1971; 60:111–27. Baumrind S Frantz RC. The reliability of head film measurements 1 Landmark identification . Am J Orthod . 1971 ; 60 : 111 27 . Search in Google Scholar

Baumrind S, Frantz RC. The reliability of head film measurements 2. Conventional angular and linear measures. Am J Orthod. 1971; 60:505–17. Baumrind S Frantz RC. The reliability of head film measurements 2 . Conventional angular and linear measures. Am J Orthod . 1971 ; 60 : 505 17 . Search in Google Scholar

Wang C-W, Huang C-T, Hsieh M-C, Li C-H, Chang S-W, Li W-C, et al. Evaluation and comparison of anatomical landmark detection methods for cephalometric X-Ray Images. IEEE Trans Med Imaging. 2015; 34:1890–900. Wang C-W Huang C-T Hsieh M-C Li C-H Chang S-W Li W-C Evaluation and comparison of anatomical landmark detection methods for cephalometric X-Ray Images . IEEE Trans Med Imaging . 2015 ; 34 : 1890 900 . Search in Google Scholar

Ding H, Wu J, Zhao W, Matinlinna JP, Burrow MF, Tsoi JKH. Artificial intelligence in dentistry—a review. Front Dental Med. 2023; 4:1–13. Ding H Wu J Zhao W Matinlinna JP Burrow MF Tsoi JKH. Artificial intelligence in dentistry—a review . Front Dental Med . 2023 ; 4 : 1 13 . Search in Google Scholar

Yao J, Zeng W, He T, Zhou S, Zhang Y, Guo J, et al. Automatic localization of cephalometric landmarks based on convolutional neural network. Am J Orthod Dentofacial Orthop. 2022; 161: 250–9. Yao J Zeng W He T Zhou S Zhang Y Guo J Automatic localization of cephalometric landmarks based on convolutional neural network . Am J Orthod Dentofacial Orthop . 2022 ; 161 : 250 9 . Search in Google Scholar

Cohen J. Statistical power analysis for the behavioral sciences. (2nd ed.). Hillsdale, NJ: Erlbaum; 1988. Cohen J. Statistical power analysis for the behavioral sciences . ( 2nd ed.). Hillsdale, NJ : Erlbaum ; 1988 . Search in Google Scholar

Duran GS,Gökmen Ş, Topsakal KG, Görgülü S. Evaluation of the accuracy of fully automatic cephalometric analysis software with artificial intelligence algorithm. Orthod Craniofacial Res. 2023; 26:481–90. Duran GS Gökmen Ş Topsakal KG Görgülü S. Evaluation of the accuracy of fully automatic cephalometric analysis software with artificial intelligence algorithm . Orthod Craniofacial Res . 2023 ; 26 : 481 90 . Search in Google Scholar

Hassan MM, Hadi Alfaifi WH, Qaysi AM, Alfaifi AA, AlGhafli ZM, Mattoo KA, et al. Comparative evaluation of digital cephalometric tracing applications on mobile devices and manual tracing. Med Sci Monitor. 2024; 30:e944628. Hassan MM Hadi Alfaifi WH Qaysi AM Alfaifi AA AlGhafli ZM Mattoo KA Comparative evaluation of digital cephalometric tracing applications on mobile devices and manual tracing . Med Sci Monitor . 2024 ; 30 : e944628 . Search in Google Scholar

Alessandri-Bonetti A, Sangalli L, Salerno M, Gallenzi P. Reliability of artificial intelligence-assisted cephalometric analysis. A pilot study. BioMedInformatics. 2023; 3:44–53. Alessandri-Bonetti A Sangalli L Salerno M Gallenzi P. Reliability of artificial intelligence-assisted cephalometric analysis . A pilot study. BioMedInformatics . 2023 ; 3 : 44 53 . Search in Google Scholar

Mercier J-P, Rossi C, Sanchez IN, Renovales ID, Sahagún PM-P, Templier L. Reliability and accuracy of Artificial intelligence-based software for cephalometric analysis. BMC Oral Health. 2024; 24:1309. Mercier J-P Rossi C Sanchez IN Renovales ID Sahagún PM-P Templier L. Reliability and accuracy of Artificial intelligence-based software for cephalometric analysis . BMC Oral Health . 2024 ; 24 : 1309 . Search in Google Scholar

Ristau B, Coreil M, Chapple A, Armbruster P, Ballard R. Comparison of AudaxCeph®‘s fully automated cephalometric tracing technology to a semi-automated approach by human examiners. Int Orthod. 2022; 20:100691. Ristau B Coreil M Chapple A Armbruster P Ballard R. Comparison of AudaxCeph®‘s fully automated cephalometric tracing technology to a semi-automated approach by human examiners . Int Orthod . 2022 ; 20 : 100691 . Search in Google Scholar

Tanikawa C, Lee C, Lim J, Oka A, Yamashiro T. Clinical applicability of automated cephalometric landmark identification: Part I-Patient-related identification errors. Orthod Craniofacial Res. 2021; 24(Suppl 2):43–52. Tanikawa C Lee C Lim J Oka A Yamashiro T. Clinical applicability of automated cephalometric landmark identification: Part I-Patient-related identification errors . Orthod Craniofacial Res . 2021 ; 24 (Suppl 2 ): 43 52 . Search in Google Scholar

Le VNT, Kang J, Oh I-S, Kim J-G, Yang Y-M, Lee D-W. Effectiveness of human-artificial intelligence collaboration in cephalometric landmark detection. J Personalized Med. 2022; 12:387. Le VNT Kang J Oh I-S Kim J-G Yang Y-M Lee D-W. Effectiveness of human-artificial intelligence collaboration in cephalometric landmark detection . J Personalized Med . 2022 ; 12 : 387 . Search in Google Scholar

Kim YH, Lee C, Ha E-G, Choi YJ, Han S-S. A fully deep learning model for the automatic identification of cephalometric landmarks. Imaging Sci Dentistry. 2021; 51:299–306. Kim YH Lee C Ha E-G Choi YJ Han S-S. A fully deep learning model for the automatic identification of cephalometric landmarks . Imaging Sci Dentistry . 2021 ; 51 : 299 306 . Search in Google Scholar

Mahto RK, Kafle D, Giri A, Luintel S, Karki A. Evaluation of fully automated cephalometric measurements obtained from web-based artificial intelligence driven platform. BMC Oral Health. 2022; 22:132. Mahto RK Kafle D Giri A Luintel S Karki A. Evaluation of fully automated cephalometric measurements obtained from web-based artificial intelligence driven platform . BMC Oral Health . 2022 ; 22 : 132 . Search in Google Scholar

Bulatova G, Kusnoto B, Grace V, Tsay TP, Avenetti DM, Sanchez FJC. Assessment of automatic cephalometric landmark identification using artificial intelligence. Orthod Craniofacial Res. 2021; 24(Suppl 2):37–42. Bulatova G Kusnoto B Grace V Tsay TP Avenetti DM Sanchez FJC. Assessment of automatic cephalometric landmark identification using artificial intelligence . Orthod Craniofacial Res . 2021 ; 24 (Suppl 2 ): 37 42 . Search in Google Scholar

Lingua:
Inglese
Frequenza di pubblicazione:
1 volte all'anno
Argomenti della rivista:
Medicina, Scienze medicali di base, Scienze medicali di base, altro