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

Artificial Intelligence (2129) Medical imaging (110) Imaging Informatics (302) New Diagnostic Tools and Instruments for Pediatrics (48) Machine Learning (2076) Chronic Conditions (434) Caregiving and Parenting for Chronic Pediatric Diseases (112) Applications of AI (287)

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
Article Authors Cited by (3) Tweetations Metrics

Journals

  1. Liu J, Zhang L, Yuan Y, Tang J, Liu Y, Xia L, Zhang J. Deep Learning Radiomics Model Based on Computed Tomography Image for Predicting the Classification of Osteoporotic Vertebral Fractures: Algorithm Development and Validation. JMIR Medical Informatics 2025;13:e75665 View
  2. Wu Y, Zhang L, Ma H, Wang P, Lu M, Xv X, Yu S. Dose optimization of PEG-rhGH therapy to improve growth outcomes of childhood-onset growth failure. Growth Hormone & IGF Research 2025;82:101664 View
  3. Shi F, Ren X, Xu Q, Si J, Yan Y, Shu J, Shi S, Jin K, Li F, Zhang J, Zhang L. An Interpretable Radiomics Model Based on Pituitary MRI to Predict Growth Hormone Deficiency in Short-statured Children: A Multicenter Study. Academic Radiology 2025 View