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©The Author(s) 2025.
World J Gastrointest Endosc. Jan 16, 2025; 17(1): 101233
Published online Jan 16, 2025. doi: 10.4253/wjge.v17.i1.101233
Published online Jan 16, 2025. doi: 10.4253/wjge.v17.i1.101233
Figure 1 The multimodal artificial intelligence system identified a small and flat esophageal mucosal lesion of approximately 0.
5 cm in diameter under four endoscopic imaging modalities. A: White-light imaging (blue dashed line); B: Narrow band imaging (yellow dashed line); C: Magnified narrow band imaging (yellow dashed line); D: Iodine staining (blue dashed line); E: Application of the multimodal artificial intelligence system; F: Histopathology of the resected specimen showed the lesion was a high-grade squamous intraepithelial neoplasia (hematoxylin and eosin, × 200).
- Citation: Zhou Y, Liu RD, Gong H, Yuan XL, Hu B, Huang ZY. Multimodal artificial intelligence system for detecting a small esophageal high-grade squamous intraepithelial neoplasia: A case report. World J Gastrointest Endosc 2025; 17(1): 101233
- URL: https://www.wjgnet.com/1948-5190/full/v17/i1/101233.htm
- DOI: https://dx.doi.org/10.4253/wjge.v17.i1.101233