| For: | Ma T, Liu GQ, Guo J, Ji R, Shao XJ, Li YQ, Li Z, Zuo XL. Artificial intelligence-aided optical biopsy improves the diagnosis of esophageal squamous neoplasm. World J Gastroenterol 2025; 31(13): 104370 [PMID: 40248066 DOI: 10.3748/wjg.v31.i13.104370] |
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| URL: | https://www.wjgnet.com/1007-9327/full/v31/i13/104370.htm |
| Number | Citing Articles |
| 1 |
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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| 2 |
Guanqun Liu, Guangchao Li, Zhen Li, Xuejun Shao, Rui Ji, Tian Ma, Yan Zhang, Jingran Su, Qingqing Qi, Jing Guo, Yishan He, Xiaoxiao Yang, Yanqing Li, Xiuli Zuo. Deep learning-aided optical biopsy achieves whole-chain diagnosis of Correa cascade of gastric cancer: a prospective study. BMC Medicine 2025; 23(1) doi: 10.1186/s12916-025-04310-9
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| 3 |
Noelle El Asmar, Mariam Baydoun, Jamil Mrad, Kassem Barada. Role of artificial intelligence in the detection and characterization of gastrointestinal premalignant and early malignant lesions. World Journal of Gastroenterology 2025; 31(44): 111160 doi: 10.3748/wjg.v31.i44.111160
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