This paper is in the following e-collection/theme issue:

Artificial Intelligence (1385) Medical imaging (29) Imaging Informatics (195) New Diagnostic Tools and Instruments for Pediatrics (28) Machine Learning (1475) Chronic Conditions (275) Caregiving and Parenting for Chronic Pediatric Diseases (83) Artificial Intelligence (88) Applications of AI (86)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/54641, first published .
Development and Validation of a Prediction Model Using Sella Magnetic Resonance Imaging–Based Radiomics and Clinical Parameters for the Diagnosis of Growth Hormone Deficiency and Idiopathic Short Stature: Cross-Sectional, Multicenter Study

Development and Validation of a Prediction Model Using Sella Magnetic Resonance Imaging–Based Radiomics and Clinical Parameters for the Diagnosis of Growth Hormone Deficiency and Idiopathic Short Stature: Cross-Sectional, Multicenter Study

Development and Validation of a Prediction Model Using Sella Magnetic Resonance Imaging–Based Radiomics and Clinical Parameters for the Diagnosis of Growth Hormone Deficiency and Idiopathic Short Stature: Cross-Sectional, Multicenter Study

Authors of this article:

Kyungchul Song1 Author Orcid Image ;   Taehoon Ko2, 3, 4 Author Orcid Image ;   Hyun Wook Chae1 Author Orcid Image ;   Jun Suk Oh5 Author Orcid Image ;   Ho-Seong Kim1 Author Orcid Image ;   Hyun Joo Shin6 Author Orcid Image ;   Jeong-Ho Kim7 Author Orcid Image ;   Ji-Hoon Na1 Author Orcid Image ;   Chae Jung Park6 Author Orcid Image ;   Beomseok Sohn8 Author Orcid Image
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