| For: | 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 [PMID: 39850915 DOI: 10.4253/wjge.v17.i1.101233] |
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| URL: | https://www.wjgnet.com/1948-5190/full/v17/i1/101233.htm |
| Number | Citing Articles |
| 1 |
Sarah Bencardino, Ilaria Lodola, Lucia Centanni, Francesco Vito Mandarino, Jacopo Fanizza, Federica Furfaro, Ferdinando D’Amico, Lorenzo Fuccio, Angelo Bruni, Antonio Facciorusso, Sara Massironi, Vito Annese, Silvio Danese, Andrew A. Gumbs, Gianfranco Donatelli, Giuseppe Dell’Anna. Artificial intelligence in advanced endoscopic imaging: transforming optical diagnosis in gastroenterology. Frontiers in Medicine 2026; 12 doi: 10.3389/fmed.2025.1719145
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| 2 |
Kengo Kanetaka, Susumu Eguchi, Tomohiko Adachi, Kaito Tasaki, Masayuki Fukumoto, Yasuhiko Nakao, Taro Akashi, Shinichiro Kobayashi, Ken Kurisaki. Opportunities and challenges of artificial intelligence-assisted endoscopy and high-quality data for esophageal squamous cell carcinoma. World Journal of Gastrointestinal Oncology 2026; 18(1): 111357 doi: 10.4251/wjgo.v18.i1.111357
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