These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

149 related articles for article (PubMed ID: 37913813)

  • 1. Comparison of individualized facial growth prediction models based on the partial least squares and artificial intelligence.
    Moon JH; Shin HK; Lee JM; Cho SJ; Park JA; Donatelli RE; Lee SJ
    Angle Orthod; 2024 Mar; 94(2):207-215. PubMed ID: 37913813
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Evaluation of an individualized facial growth prediction model based on the multivariate partial least squares method.
    Moon JH; Kim MG; Hwang HW; Cho SJ; Donatelli RE; Lee SJ
    Angle Orthod; 2022 Nov; 92(6):705-713. PubMed ID: 35980769
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Accuracy of artificial intelligence-assisted growth prediction in skeletal Class I preadolescent patients using serial lateral cephalograms for a 2-year growth interval.
    Larkin A; Kim JS; Kim N; Baek SH; Yamada S; Park K; Tai K; Yanagi Y; Park JH
    Orthod Craniofac Res; 2024 Aug; 27(4):535-543. PubMed ID: 38321788
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. Automatic soft-tissue analysis on orthodontic frontal and lateral facial photographs based on deep learning.
    Chang Q; Bai Y; Wang S; Wang F; Wang Y; Zuo F; Xie X
    Orthod Craniofac Res; 2024 Jul; ():. PubMed ID: 38967085
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A more accurate method of predicting soft tissue changes after mandibular setback surgery.
    Suh HY; Lee SJ; Lee YS; Donatelli RE; Wheeler TT; Kim SH; Eo SH; Seo BM
    J Oral Maxillofac Surg; 2012 Oct; 70(10):e553-62. PubMed ID: 22990101
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A more accurate soft-tissue prediction model for Class III 2-jaw surgeries.
    Lee YS; Suh HY; Lee SJ; Donatelli RE
    Am J Orthod Dentofacial Orthop; 2014 Dec; 146(6):724-33. PubMed ID: 25432253
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Chemometrics-assisted simultaneous voltammetric determination of ascorbic acid, uric acid, dopamine and nitrite: application of non-bilinear voltammetric data for exploiting first-order advantage.
    Gholivand MB; Jalalvand AR; Goicoechea HC; Skov T
    Talanta; 2014 Feb; 119():553-63. PubMed ID: 24401455
    [TBL] [Abstract][Full Text] [Related]  

  • 9. How much deep learning is enough for automatic identification to be reliable?
    Moon JH; Hwang HW; Yu Y; Kim MG; Donatelli RE; Lee SJ
    Angle Orthod; 2020 Nov; 90(6):823-830. PubMed ID: 33378507
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Predicting soft tissue changes after orthognathic surgery:
    Suh HY; Lee HJ; Lee YS; Eo SH; Donatelli RE; Lee SJ
    Angle Orthod; 2019 Nov; 89(6):910-916. PubMed ID: 31144998
    [TBL] [Abstract][Full Text] [Related]  

  • 11. [Automated diagnostic classification with lateral cephalograms based on deep learning network model].
    Chang S; Wang SF; Zuo FF; Wang F; Gong BW; Wang YJ; Xie XJ
    Zhonghua Kou Qiang Yi Xue Za Zhi; 2023 Jun; 58(6):547-553. PubMed ID: 37271999
    [No Abstract]   [Full Text] [Related]  

  • 12. Comparison of Bayesian and partial least squares regression methods for mid-infrared prediction of cheese-making properties in Montbéliarde cows.
    El Jabri M; Sanchez MP; Trossat P; Laithier C; Wolf V; Grosperrin P; Beuvier E; Rolet-Répécaud O; Gavoye S; Gaüzère Y; Belysheva O; Notz E; Boichard D; Delacroix-Buchet A
    J Dairy Sci; 2019 Aug; 102(8):6943-6958. PubMed ID: 31178172
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Accuracy of computer-aided prediction in soft tissue changes after orthodontic treatment.
    Zhang X; Mei L; Yan X; Wei J; Li Y; Li H; Li Z; Zheng W; Li Y
    Am J Orthod Dentofacial Orthop; 2019 Dec; 156(6):823-831. PubMed ID: 31784016
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Development and accuracy of artificial intelligence-generated prediction of facial changes in orthodontic treatment: a scoping review.
    Zhu J; Yang Y; Wong HM
    J Zhejiang Univ Sci B; 2023 Aug; 24(11):974-984. PubMed ID: 37961800
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Revealing the representative facial traits of different sagittal skeletal types: decipher what artificial intelligence can see by Grad-CAM.
    Cai J; Deng Y; Min Z; Zhang Y; Zhao Z; Jing D
    J Dent; 2023 Nov; 138():104701. PubMed ID: 37717687
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Retrospective evaluation of the clinical utility of reconstructed computed tomography images using artificial intelligence in the oral and maxillofacial region.
    Lim HK; Choi YJ; Song IS; Lee JH
    J Craniomaxillofac Surg; 2023 Sep; 51(9):543-550. PubMed ID: 37574384
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Accuracy in predicting soft tissue changes of orthodontic class III cases using Dolphin® software.
    Xing K; Mei H; Feng Q; Quan S; Zhang G; Jia A; Ge H; Mei D; Li J
    Clin Oral Investig; 2023 Aug; 27(8):4531-4539. PubMed ID: 37285103
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Ethnicity and skeletal Class III morphology: a pubertal growth analysis using thin-plate spline analysis.
    Alkhamrah B; Terada K; Yamaki M; Ali IM; Hanada K
    Int J Adult Orthodon Orthognath Surg; 2001; 16(4):243-54. PubMed ID: 12390002
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Development of novel artificial intelligence systems to predict facial morphology after orthognathic surgery and orthodontic treatment in Japanese patients.
    Tanikawa C; Yamashiro T
    Sci Rep; 2021 Aug; 11(1):15853. PubMed ID: 34349151
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 8.