KameiGBatraPSinghAKAroraGKaushikS. Development of an artificial intelligence-based algorithm for the assessment of skeletal age and detection of cervical vertebral anomalies in patients with cleft lip and palate. Cleft Palate Craniofac J. 2026;63(2):263–272. doi:10.1177/10556656241299890
2.
de Rezende BarbosaGLPimentaLATyndallDAAllareddyTVSousa MeloSL. Three-dimensional assessment of cervical vertebrae anomalies in patients with cleft lip and palate. Cleft Palate Craniofac J. 2021;58(9):1102–1109. doi:10.1177/1055665620980226
3.
DiasRCMarzano RodriguesMNTrindade-SuedamIKTrindadeSH. Tomographic evaluation of the upper cervical spine in patients with cleft lip and palate and class III malocclusion. Cleft Palate Craniofac J. 2024;61(11):1894–1900. doi:10.1177/10556656231186968
4.
BaccettiTFranchiLMcNamaraJA. The cervical vertebral maturation (CVM) method for the assessment of optimal treatment timing in dentofacial orthopedics. Semin Orthod. 2005;11(3):119–129. doi:10.1053/j.sodo.2005.04.005
5.
McNamaraJAFranchiL. The cervical vertebral maturation method: A user’s guide. Angle Orthod. 2018;88(2):133–143. doi:10.2319/111517-787.1
6.
SounderajahVGuniALiuXCollinsGSKarthikesalingamAMarkarSRGolubRMDennistonAKShettySMoherD, et al.The STARD-AI reporting guideline for diagnostic accuracy studies using artificial intelligence. Nat Med2025;31(10):3283–3289. doi:10.1038/s41591-025-03953-8
7.
LiuXCruz RiveraSMoherDCalvertMJDennistonAK; SPIRIT-AI and CONSORT-AI Working Group. Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: The CONSORT-AI extension. Lancet Digit Health2020;2(10):e537–e548. doi:10.1016/S2589-7500(20)30218-1