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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

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