Multimodal artificial intelligence system for detecting a small esophageal high-grade squamous intraepithelial neoplasia: A case report
This work underscores the transformative potential of AI to enhance endoscopic diagnosis by enabling earlier, more accurate interventions.
Authors
- Zhou Yang (ORCID: https://orcid.org/0000-0003-2142-1763)
- Bing Hu (ORCID: https://orcid.org/0000-0002-9898-8656)
- Hui Gong (ORCID: https://orcid.org/0000-0001-6398-384X)
- Xianglei Yuan (ORCID: https://orcid.org/0000-0003-2281-5094)
- Rong Liu (ORCID: https://orcid.org/0000-0001-5683-9786)
- Zhiyin Huang (ORCID: https://orcid.org/0000-0002-8322-1786)
Institutions
- Sichuan University (CN)
- West China Medical Center of Sichuan University (CN)
- West China Hospital of Sichuan University (CN)
Publication Details
- Journal
- World Journal of Gastrointestinal Endoscopy
- Published
- 2025-01-16
- DOI
- https://doi.org/10.4253/wjge.v17.i1.101233
- Citations
- 2
- Primary Topic
- Esophageal Cancer Research and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 4.01