Artificial intelligence aids doctors in diagnosing necrotizing enterocolitis and predicting surgery using abdominal radiographs: a multicenter study
The CNN-based AI model effectively distinguished NEC and identified cases requiring surgery. Clinicians' AR interpretation accuracy improved with AI assistance.
Authors
- Gang Zhang (ORCID: https://orcid.org/0000-0001-9843-1818)
- Yongteng Li (ORCID: https://orcid.org/0009-0003-2540-1169)
- Yi Lü (ORCID: https://orcid.org/0000-0002-5620-9378)
- Rongying Tan (ORCID: https://orcid.org/0009-0009-1555-9273)
- Daiyue Yu
- Jianjun Wang (ORCID: https://orcid.org/0000-0002-6976-4303)
- Zhong Chen (ORCID: https://orcid.org/0000-0001-7518-1414)
- Xi Zhang (ORCID: https://orcid.org/0000-0003-2859-7438)
- Liucheng Yang
- Kai Wu (ORCID: https://orcid.org/0000-0003-1418-7382)
- X.H. Ding
- Q Chen
- Yanling Mou
Institutions
- Third Affiliated Hospital of Guangzhou Medical University (CN)
- Guangzhou Medical University (CN)
Publication Details
- Journal
- Quantitative Imaging in Medicine and Surgery
- Published
- 2025-10-29
- DOI
- https://doi.org/10.21037/qims-2024-2867
- Citations
- 1
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.65