KLI

Evaluating the Accuracy of Automated Orthodontic Digital Setup Models

Metadata Downloads
Abstract
Orthodontic tooth setup provides the orthodontist insight into the possibilities and limitations of treatment and enables visualization of the final goal of treatment. Lately, artificial intelligence techniques have been applied to the digital setup softwares to automate the process of tooth segmentation and alignment. The purpose of this study was to evaluate the accuracy and efficiency of automated digital setup softwares. The diagnostic digital impression data of 30 patients (mean age, 29.8 ± 14.4 y) who underwent non-extraction orthodontic treatment from 2020 to 2022 were collected. Three automated digital setup software programs, Autolign (Diorco, Yongin, Korea), Outcome Simulator Pro (Align Technology, Inc., Arizona, USA), and Ortho Simulation (Medit, Seoul Korea) were tested and compared to the manual setup model using the Maestro 3D Dental Studio software (AGE Solutions S.r.l., Pontedera, Italy). The linear and angular transposition with respect to six dimensions of tooth movement, including occlusal-gingival, facial-lingual, and mesial-distal bodily movement, as well as crown rotation, mesial-distal crown tip, and facial-lingual crown torque, were calculated. The mean error for linear and angular movement ranged 0.39 – 1.40 mm and 3.25 – 7.80 °, respectively. The effectiveness of automated digital setup systems varies among software, tooth type, and the dimension of movement. Although the setup results have shown improvement in the occlusion indices, further manual adjustments may be needed for clinical use, such as indirect bonding and clear aligner therapy.
Issued Date
2023
Hyein Woo
Nayansi Jha
Yoon-Ji Kim
Sang-Jin Sung
Type
Article
DOI
10.1053/j.sodo.2022.12.010
URI
https://oak.ulsan.ac.kr/handle/2021.oak/15910
Publisher
Seminars in Orthodontics
Language
한국어
ISSN
1073-8746
Citation Volume
29
Citation Number
1
Citation Start Page
60
Citation End Page
67
Appears in Collections:
Medicine > Nursing
공개 및 라이선스
  • 공개 구분공개
파일 목록
  • 관련 파일이 존재하지 않습니다.

Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.