Applications of artificial intelligence in pediatric general surgery: a systematic review
Current research has demonstrated AI's potential to improve diagnostic accuracy, optimize treatment decisions, and enhance patient outcomes, while improvements are needed in areas such as bias risk control, model interpretability, and data quality. More high-quality, multicenter prospective studies are required to fully realize the comprehensive clinical translation of AI technology in pediatric surgery.
Authors
- Pushu Wang
- B X Zhang
- Jie Yang (ORCID: https://orcid.org/0000-0003-4801-7162)
- Yanwei Su
- Jinjin Guo (ORCID: https://orcid.org/0009-0008-8588-0479)
- Yaqi Zhu (ORCID: https://orcid.org/0009-0009-1857-2676)
- Wenjin Wang
- Yuqi Wang
- Yang Song
Institutions
- Tongji Hospital (CN)
- Huazhong University of Science and Technology (CN)
Publication Details
- Journal
- Translational Pediatrics
- Published
- 2026-02-01
- DOI
- https://doi.org/10.21037/tp-2025-667
- Primary Topic
- Appendicitis Diagnosis and Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Natural Science Foundation of Hubei Province