Richard E Donatelli
Overview
Explore the profile of Richard E Donatelli including associated specialties, affiliations and a list of published articles.
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Articles
25
Citations
432
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0
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Recent Articles
1.
Cho S, Moon J, Ko D, Lee J, Park J, Donatelli R, et al.
Angle Orthod
. 2024 Sep;
94(5):557-565.
PMID: 39230022
Objectives: To evaluate an artificial intelligence (AI) model in predicting soft tissue and alveolar bone changes following orthodontic treatment and compare the predictive performance of the AI model with conventional...
2.
Park J, Moon J, Lee J, Cho S, Seo B, Donatelli R, et al.
Angle Orthod
. 2024 Sep;
94(5):549-556.
PMID: 39230019
Objectives: To evaluate the performance of an artificial intelligence (AI) model in predicting orthognathic surgical outcomes compared to conventional prediction methods. Materials And Methods: Preoperative and posttreatment lateral cephalograms from...
3.
Moon J, Shin H, Lee J, Cho S, Park J, Donatelli R, et al.
Angle Orthod
. 2023 Nov;
94(2):207-215.
PMID: 37913813
Objectives: To compare facial growth prediction models based on the partial least squares and artificial intelligence (AI). Materials And Methods: Serial longitudinal lateral cephalograms from 410 patients who had not...
4.
Moon J, Kim M, Hwang H, Cho S, Donatelli R, Lee S
Angle Orthod
. 2022 Aug;
92(6):705-713.
PMID: 35980769
Objectives: To develop a facial growth prediction model incorporating individual skeletal and soft tissue characteristics. Materials And Methods: Serial longitudinal lateral cephalograms were collected from 303 children (166 girls and...
5.
Donatelli R, Park J, Mathews S, Lee S
Am J Orthod Dentofacial Orthop
. 2022 Mar;
161(4):605-608.
PMID: 35337650
Introduction: This article describes a simple method of applying a time series analysis to sample data sets using a free and open statistical software program, Language R. Methods: Records of...
6.
Donatelli R, Park J, Alghamdi Y, Pandis N, Lee S
Angle Orthod
. 2022 Jan;
92(3):409-414.
PMID: 35099528
Objectives: To map the statistical methods applied to assess reliability in orthodontic publications and to identify possible trends over time. Materials And Methods: Original research articles published in 2009 and...
7.
Kim M, Moon J, Hwang H, Cho S, Donatelli R, Lee S
Angle Orthod
. 2021 Oct;
92(2):226-232.
PMID: 34605860
Objectives: To determine if an automated superimposition method using six landmarks (Sella, Nasion, Porion, Orbitale, Basion, and Pterygoid) would be more suitable than the traditional Sella-Nasion (SN) method to evaluate...
8.
Hwang H, Moon J, Kim M, Donatelli R, Lee S
Angle Orthod
. 2021 Jan;
91(3):329-335.
PMID: 33434275
Objectives: To compare an automated cephalometric analysis based on the latest deep learning method of automatically identifying cephalometric landmarks (AI) with previously published AI according to the test style of...
9.
Moon J, Hwang H, Yu Y, Kim M, Donatelli R, Lee S
Angle Orthod
. 2020 Dec;
90(6):823-830.
PMID: 33378507
Objectives: To determine the optimal quantity of learning data needed to develop artificial intelligence (AI) that can automatically identify cephalometric landmarks. Materials And Methods: A total of 2400 cephalograms were...
10.
Hwang H, Park J, Moon J, Yu Y, Kim H, Her S, et al.
Angle Orthod
. 2019 Jul;
90(1):69-76.
PMID: 31335162
Objectives: To compare detection patterns of 80 cephalometric landmarks identified by an automated identification system (AI) based on a recently proposed deep-learning method, the You-Only-Look-Once version 3 (YOLOv3), with those...