Artificial intelligence-aided optical biopsy improves the diagnosis of esophageal squamous neoplasm
iCLE system demonstrated high diagnostic performance for ESN. It can assist nonexpert endoscopists in improving the diagnostic efficiency of pCLE for ESN and has the potential for reducing unnecessary biopsies.
Authors
- Xiuli Zuo (ORCID: https://orcid.org/0000-0001-9556-8771)
- Guan‐Qun Liu
- Zhenlin Li (ORCID: https://orcid.org/0000-0002-3706-4505)
- Xuejun Shao (ORCID: https://orcid.org/0000-0002-4853-2634)
- Jing Guo (ORCID: https://orcid.org/0000-0002-0053-2678)
- Tian Ma (ORCID: https://orcid.org/0000-0002-2690-5348)
- Rui Ji (ORCID: https://orcid.org/0009-0009-3709-1149)
- Yanqing Li (ORCID: https://orcid.org/0009-0007-7380-384X)
Institutions
- Qilu Hospital of Shandong University (CN)
Publication Details
- Journal
- World Journal of Gastroenterology
- Published
- 2025-04-02
- DOI
- https://doi.org/10.3748/wjg.v31.i13.104370
- Citations
- 4
- Primary Topic
- Esophageal Cancer Research and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 8.03