Clinical and Experimental Pediatrics

CrossRef Text and Data Mining

Result of CrossRef Text and Data Mining Search is the related articles with entitled article. If you click link1 or link2 you will be able to reach the full text site of selected articles; however, some links do not show the full text immediately at now. If you click CrossRef Text and Data Mining Download icon, you will be able to get whole list of articles from literature included in CrossRef Text and Data Mining.

Accuracy of predicted adult height using the Greulich-Pyle method and artificial intelligence medical device

Dongho Cho, Yun Sun Choi, Hayun Oh, Young min Ahn, Ji-Young Seo

Clin Exp Pediatr. 2023;66(3):145-147. Published online January 25, 2023
DOI: https://doi.org/10.3345/cep.2022.01116

Accuracy of predicted adult height using the Greulich-Pyle method and artificial intelligence medical device

Dongho Cho, Yun Sun Choi, Hayun Oh, Young min Ahn, Ji-Young Seo

Clinical and Experimental Pediatrics. 2023;66(3):145-147

Link1

Link2 Link3

The reliability of the Greulich-Pyle method in bone age determination among Australian children

Mark L Paxton, Anthony C Lamont, Andrew P Stillwell

Journal of Medical Imaging and Radiation Oncology. 2012;57(1):21-24

Link1 Link2

Tables for predicting adult height from skeletal age: Revised for use with the Greulich-Pyle hand standards

American Journal of Orthodontics. 1952;38(12):949-964

Link1 Link2

Modernization of bone age assessment: comparing the accuracy and reliability of an artificial intelligence algorithm and shorthand bone age to Greulich and Pyle

Mina Gerges, Hayley Eng, Harpreet Chhina, Anthony Cooper

Skeletal Radiology. 2020;49(9):1449-1457

Link1

Link2 Link3

Tables for predicting adult height from skeletal age: Revised for use with the greulich-pyle hand standards

Nancy Bayley, Samuel R. Pinneau

The Journal of Pediatrics. 1952;40(4):423-441

Link1 Link2

Artificial intelligence in bone age assessment: accuracy and efficiency of a novel fully automated algorithm compared to the Greulich-Pyle method

Christian Booz, Ibrahim Yel, Julian L. Wichmann, Sabine Boettger, Ahmed Al Kamali, Moritz H. Albrecht, Simon S. Martin, Lukas Lenga, Nicole A. Huizinga, Tommaso D’Angelo, Marco Cavallaro, Thomas J. Vogl, Boris Bodelle

European Radiology Experimental. 2020;4(1):

Link1

Link2 Link3

Utilization of an Artificial Intelligence Program Using the Greulich-Pyle Method to Evaluate Bone Age in the Skeletal Maturation Stage

Jihoon Kim, Hyejun Seo, Soyoung Park, Eungyung Lee, Taesung Jeong, Ok Hyung Nam, Sungchul Choi, Jonghyun Shin

THE JOURNAL OF THE KOREAN ACADEMY OF PEDTATRIC DENTISTRY. 2023;50(1):89-103

Link1

Link2 Link3

Near-Adult Heights and Adult Height Predictions Using Automated and Conventional Greulich–Pyle Bone Age Determinations in Children with Chronic Endocrine Diseases

Daniela Choukair, Annette Hückmann, Janna Mittnacht, Thomas Breil, Jens Peter Schenk, Abdulsattar Alrajab, Lorenz Uhlmann, Markus Bettendorf

Indian Journal of Pediatrics. 2022;89(7):692-698

Link1

Link2 Link3

Near Adult Heights and Predictions of Prospective Adult Heights using Automated and Conventional Greulich-Pyle Bone Age Determinations in children with chronic endocrine diseases

Daniela Choukair, Annette Hückmann, Janna Mittnacht, Thomas Breil, Jens Peter Schenk, Abdulsattar Alrajab, Lorenz Uhlmann, Markus Bettendorf

. 2021;

Link1 Link2

Characterizing sensor accuracy requirements in an artificial intelligence-enabled medical device

Kristin A. Bartlett, Katharine E. Forth, Stefan I. Madansingh

IPEM-Translation. 2022;1:100004

Link1 Link2