177 related articles for article (PubMed ID: 37427581)
1. Human examination and artificial intelligence in cephalometric landmark detection-is AI ready to take over?
Indermun S; Shaik S; Nyirenda C; Johannes K; Mulder R
Dentomaxillofac Radiol; 2023 Sep; 52(6):20220362. PubMed ID: 37427581
[TBL] [Abstract][Full Text] [Related]
2. Is automatic cephalometric software using artificial intelligence better than orthodontist experts in landmark identification?
Ye H; Cheng Z; Ungvijanpunya N; Chen W; Cao L; Gou Y
BMC Oral Health; 2023 Jul; 23(1):467. PubMed ID: 37422630
[TBL] [Abstract][Full Text] [Related]
3. Evaluating the accuracy of automated cephalometric analysis based on artificial intelligence.
Bao H; Zhang K; Yu C; Li H; Cao D; Shu H; Liu L; Yan B
BMC Oral Health; 2023 Apr; 23(1):191. PubMed ID: 37005593
[TBL] [Abstract][Full Text] [Related]
4. Can artificial intelligence-driven cephalometric analysis replace manual tracing? A systematic review and meta-analysis.
Hendrickx J; Gracea RS; Vanheers M; Winderickx N; Preda F; Shujaat S; Jacobs R
Eur J Orthod; 2024 Aug; 46(4):. PubMed ID: 38895901
[TBL] [Abstract][Full Text] [Related]
5. Reproducibility of linear and angular cephalometric measurements obtained by an artificial-intelligence assisted software (WebCeph) in comparison with digital software (AutoCEPH) and manual tracing method.
Prince STT; Srinivasan D; Duraisamy S; Kannan R; Rajaram K
Dental Press J Orthod; 2023; 28(1):e2321214. PubMed ID: 37018830
[TBL] [Abstract][Full Text] [Related]
6. Artificial intelligence system for automated landmark localization and analysis of cephalometry.
Jiang F; Guo Y; Yang C; Zhou Y; Lin Y; Cheng F; Quan S; Feng Q; Li J
Dentomaxillofac Radiol; 2023 Jan; 52(1):20220081. PubMed ID: 36279185
[TBL] [Abstract][Full Text] [Related]
7. A knowledge-based algorithm for automatic detection of cephalometric landmarks on CBCT images.
Gupta A; Kharbanda OP; Sardana V; Balachandran R; Sardana HK
Int J Comput Assist Radiol Surg; 2015 Nov; 10(11):1737-52. PubMed ID: 25847662
[TBL] [Abstract][Full Text] [Related]
8. Artificial Intelligence for Detecting Cephalometric Landmarks: A Systematic Review and Meta-analysis.
de Queiroz Tavares Borges Mesquita G; Vieira WA; Vidigal MTC; Travençolo BAN; Beaini TL; Spin-Neto R; Paranhos LR; de Brito Júnior RB
J Digit Imaging; 2023 Jun; 36(3):1158-1179. PubMed ID: 36604364
[TBL] [Abstract][Full Text] [Related]
9. Developing an automatic lateral cephalometric landmark identification program and evaluating its performance.
Rakhshan V; Rakhshan H; Sheibaninia A
Int J Comput Dent; 2009; 12(4):327-43. PubMed ID: 20108870
[TBL] [Abstract][Full Text] [Related]
10. Preciseness of artificial intelligence for lateral cephalometric measurements.
El-Dawlatly M; Attia KH; Abdelghaffar AY; Mostafa YA; Abd El-Ghafour M
J Orofac Orthop; 2024 May; 85(Suppl 1):27-33. PubMed ID: 36894679
[TBL] [Abstract][Full Text] [Related]
11. Fully Automatic System for Accurate Localisation and Analysis of Cephalometric Landmarks in Lateral Cephalograms.
Lindner C; Wang CW; Huang CT; Li CH; Chang SW; Cootes TF
Sci Rep; 2016 Sep; 6():33581. PubMed ID: 27645567
[TBL] [Abstract][Full Text] [Related]
12. Automatic cephalometric landmark identification with artificial intelligence: An umbrella review of systematic reviews.
Polizzi A; Leonardi R
J Dent; 2024 Jul; 146():105056. PubMed ID: 38729291
[TBL] [Abstract][Full Text] [Related]
13. Automated identification of cephalometric landmarks:
Hwang HW; Park JH; Moon JH; Yu Y; Kim H; Her SB; Srinivasan G; Aljanabi MNA; Donatelli RE; Lee SJ
Angle Orthod; 2020 Jan; 90(1):69-76. PubMed ID: 31335162
[TBL] [Abstract][Full Text] [Related]
14. Personal Computer-Based Cephalometric Landmark Detection With Deep Learning, Using Cephalograms on the Internet.
Nishimoto S; Sotsuka Y; Kawai K; Ishise H; Kakibuchi M
J Craniofac Surg; 2019 Jan; 30(1):91-95. PubMed ID: 30439733
[TBL] [Abstract][Full Text] [Related]
15. Accuracy and clinical validity of automated cephalometric analysis using convolutional neural networks.
Kang S; Kim I; Kim YJ; Kim N; Baek SH; Sung SJ
Orthod Craniofac Res; 2024 Feb; 27(1):64-77. PubMed ID: 37326233
[TBL] [Abstract][Full Text] [Related]
16. Evaluation of the accuracy of fully automatic cephalometric analysis software with artificial intelligence algorithm.
Duran GS; Gökmen Ş; Topsakal KG; Görgülü S
Orthod Craniofac Res; 2023 Aug; 26(3):481-490. PubMed ID: 36648374
[TBL] [Abstract][Full Text] [Related]
17. Accuracy of automated identification of lateral cephalometric landmarks using cascade convolutional neural networks on lateral cephalograms from nationwide multi-centres.
Kim J; Kim I; Kim YJ; Kim M; Cho JH; Hong M; Kang KH; Lim SH; Kim SJ; Kim YH; Kim N; Sung SJ; Baek SH
Orthod Craniofac Res; 2021 Dec; 24 Suppl 2():59-67. PubMed ID: 33973341
[TBL] [Abstract][Full Text] [Related]
18. Accuracy of cephalometric landmarks on monitor-displayed radiographs with and without image emboss enhancement.
Leonardi RM; Giordano D; Maiorana F; Greco M
Eur J Orthod; 2010 Jun; 32(3):242-7. PubMed ID: 20022892
[TBL] [Abstract][Full Text] [Related]
19. Performance of a Convolutional Neural Network- Based Artificial Intelligence Algorithm for Automatic Cephalometric Landmark Detection.
Uğurlu M
Turk J Orthod; 2022 Jun; 35(2):94-100. PubMed ID: 35788433
[TBL] [Abstract][Full Text] [Related]
20. Commercial artificial intelligence lateral cephalometric analysis: part 2-effects of human examiners on artificial intelligence performance, a pilot study.
Lee J; Bae SR; Noh HK
J Clin Pediatr Dent; 2023 Nov; 47(6):130-141. PubMed ID: 37997244
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]