| 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 |
Ken Kurisaki, Shinichiro Kobayashi, Taro Akashi, Yasuhiko Nakao, Masayuki Fukumoto, Kaito Tasaki, Tomohiko Adachi, Susumu Eguchi, Kengo Kanetaka. 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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| 3 |
Wojciech Plizga, Mateusz Sydor, Zuzanna Lepa, Aleksandra Bułat. ARTIFICIAL INTELLIGENCE IN DETECTION AND DIAGNOSIS OF UPPER GASTROINTESTINAL LESIONS: A LITERATURE REVIEW. International Journal of Innovative Technologies in Social Science 2026; 5(2(50)) doi: 10.31435/ijitss.2(50).2026.5363
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