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

Artificial Intelligence (5054) Pediatrics (390) Tools, Programs and Algorithms (610) Imaging Informatics (511) Screening and Early Diagnosis in Pediatrics (64) Gastroenterology and Hepatology (209) New Diagnostic Tools and Instruments for Pediatrics (78) Medical imaging (205)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/72097, first published .
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External Validation of an Upgraded AI Model for Screening Ileocolic Intussusception Using Pediatric Abdominal Radiographs: Multicenter Retrospective Study

External Validation of an Upgraded AI Model for Screening Ileocolic Intussusception Using Pediatric Abdominal Radiographs: Multicenter Retrospective Study

Authors of this article:

Jeong Hoon Lee1 Author Orcid Image ;   Pyeong Hwa Kim2 Author Orcid Image ;   Nak-Hoon Son3 Author Orcid Image ;   Kyunghwa Han4 Author Orcid Image ;   Yeseul Kang5 Author Orcid Image ;   Sejin Jeong5 Author Orcid Image ;   Eun-Kyung Kim5 Author Orcid Image ;   Haesung Yoon6 Author Orcid Image ;   Sergios Gatidis1 Author Orcid Image ;   Shreyas Vasanawala1 Author Orcid Image ;   Hee Mang Yoon2 Author Orcid Image ;   Hyun Joo Shin5 Author Orcid Image
Article Authors Cited by (8) Tweetations Metrics

Journals

  1. Liu J, Sun P, Yuan Y, Chen Z, Tian K, Gao Q, Li X, Xia L, Zhang J, Xu N. YOLOv12 Algorithm-Aided Detection and Classification of Lateral Malleolar Avulsion Fracture and Subfibular Ossicle Based on CT Images: Multicenter Study. JMIR Medical Informatics 2025;13:e79064 View
  2. 汤 臻. A Review of Artificial Intelligence Prediction Models in the Management of Intestinal Obstruction and Their Implications for Pediatric Intestinal Obstruction. Advances in Clinical Medicine 2026;16(02):1807 View
  3. Limantoro I, Stafrace S, Apine I, Sofia C, Toso S, Kljucevsek D, Perucca G. The role of artificial intelligence in paediatric abdominal imaging. Pediatric Radiology 2026;56(9):1945 View
  4. Jiazhi X, Dajian D, Shilong T, Xiao F, Luyao Z, Ling H. Application of AIIR algorithm for quality improvement and noise reduction in pediatric abdominal contrast-enhanced CT. Frontiers in Radiology 2026;6 View
  5. Gallo Bernal S, Lee E, Shin H, Park J, Yoon H. Artificial Intelligence in Pediatric Emergency Radiology. Radiologic Clinics of North America 2026 View
  6. Liu J, Wang Y, Zeng D, Mao X, Yu Y, Feng H, Xiu W, Dong Q, Duan Y, Jiang Z, Zhang P, Zhao Z, Qi S, Li Z, Qi H, Cao Y, Wang H, Wang P, Li Z, Bao L, Shang K, Duan Z, Lin A, Shen G, Zhang T, Wang G, Hao Q, Han L, Mi W, Li H, Li M. A vision transformer deep learning model for assessing pediatric ileocolic intussusception severity using ultrasound images. npj Digital Medicine 2026;9(1) View
  7. Campos L, Symeou S, Carpi G, Poenaru D. Unfolding new horizons: Machine learning applications for pediatric intussusception - A systematic review and meta-analysis. Journal of Pediatric Surgery 2026:163518 View
  8. Nam Y, Rárosi F, Fodor G, Peták F, Nagy A, Tolnai J. Artificial Intelligence Use and Perceptions Among Three Medical Student Cohorts: Cross-Sectional Comparative Survey Study. Future Internet 2026;18(10):525 View