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Cited by in CrossRef
For: Meng QQ, Gao Y, Lin H, Wang TJ, Zhang YR, Feng J, Li ZS, Xin L, Wang LW. Application of an artificial intelligence system for endoscopic diagnosis of superficial esophageal squamous cell carcinoma. World J Gastroenterol 2022; 28(37): 5483-5493 [PMID: 36312830 DOI: 10.3748/wjg.v28.i37.5483]
URL: https://www.wjgnet.com/1007-9327/full/v28/i37/5483.htm
Number Citing Articles
1
Lihui Zhang, Liwen Yao, Zihua Lu, Honggang Yu. Current status of quality control in screening esophagogastroduodenoscopy and the emerging role of artificial intelligenceDigestive Endoscopy 2024; 36(1): 5 doi: 10.1111/den.14649
2
Chu-Ting Yu, Ting-Lu Wang, Ye Gao, Zhi-Han Wu, Ying-Zhou Chen, Lei Shi, Biao Liu, Hui Zhang, Hong-Wei Xu, Wei-Gang Chen, She-Gan Gao, Jin-Lin Yang, Luo-Wei Wang, Lin Han. Development and validation of a multimodal deep learning model for early esophageal squamous neoplasia detection and invasion depth predictionEndoscopy 2025;  doi: 10.1055/a-2780-0974
3
Xin-Rui Li, Mo-Wei Kong, Xiang-Feng Guan, Yu Gao. Revolutionizing upper gastrointestinal disease diagnosis: The transformative role of artificial intelligence in endoscopyWorld Journal of Gastrointestinal Endoscopy 2025; 17(7): 108293 doi: 10.4253/wjge.v17.i7.108293
4
Farhang Hosseini, Farkhondeh Asadi, Hassan Emami, Rayan Ebnali Harari. Machine learning applications for early detection of esophageal cancer: a systematic reviewBMC Medical Informatics and Decision Making 2023; 23(1) doi: 10.1186/s12911-023-02235-y
5
Hongzhen Zhang, Feng Zhao. Deep learning meets clinical practice: A You Only Look Once–based framework for accurate and real-time detection of carotid vulnerable plaquesJournal of International Medical Research 2026; 54(2) doi: 10.1177/03000605261420504
6
Naim Rochmawati, Chastine Fatichah, Bilqis Amaliah, Agus Budi Raharjo, Frédéric Dumont, Emilie Thibaudeau, Cédric Dumas. Deep Learning-Based Lesion Detection in Endoscopy: A Systematic Literature ReviewIEEE Access 2025; 13: 43532 doi: 10.1109/ACCESS.2025.3548167
7
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 carcinomaWorld Journal of Gastrointestinal Oncology 2026; 18(1): 111357 doi: 10.4251/wjgo.v18.i1.111357
8
Chu-Kuang Chou, Riya Karmakar, Yu-Ming Tsao, Lim Wei Jie, Arvind Mukundan, Chien-Wei Huang, Tsung-Hsien Chen, Chau-Yuan Ko, Hsiang-Chen Wang. Evaluation of Spectrum-Aided Visual Enhancer (SAVE) in Esophageal Cancer Detection Using YOLO FrameworksDiagnostics 2024; 14(11): 1129 doi: 10.3390/diagnostics14111129
9
Takuma Miura, Takumi Yashima, Eichi Takaya, Yusuke Taniyama, Chiaki Sato, Hiroshi Okamoto, Yohei Ozawa, Hirotaka Ishida, Michiaki Unno, Takuya Ueda, Takashi Kamei. Multimodal deep-learning model using pre-treatment endoscopic images and clinical information to predict efficacy of neoadjuvant chemotherapy in esophageal squamous cell carcinomaEsophagus 2025; 22(2): 207 doi: 10.1007/s10388-025-01106-x
10
Noelle El Asmar, Mariam Baydoun, Jamil Mrad, Kassem Barada. Role of artificial intelligence in the detection and characterization of gastrointestinal premalignant and early malignant lesionsWorld Journal of Gastroenterology 2025; 31(44): 111160 doi: 10.3748/wjg.v31.i44.111160
11
Sabrina Xin Zi Quek, Khek Yu Ho. Artificial Intelligence in Upper Gastrointestinal DiagnosisThe Korean Journal of Helicobacter and Upper Gastrointestinal Research 2025; 25(3): 251 doi: 10.7704/kjhugr.2025.0024
12
Ji-Han Qi, Shi-Ling Huang, Shi-Zhu Jin. Novel milestones for early esophageal carcinoma: From bench to bedWorld Journal of Gastrointestinal Oncology 2024; 16(4): 1104-1118 doi: 10.4251/wjgo.v16.i4.1104
13
Yongkang Tao, Long Fang, Geng Qin, Yingying Xu, Shuang Zhang, Xiangrong Zhang, Shiyu Du. Efficiency of endoscopic artificial intelligence in the diagnosis of early esophageal cancerThoracic Cancer 2024; 15(16): 1296 doi: 10.1111/1759-7714.15261
14
Nuoya Zhou, Xianglei Yuan, Wei Liu, Qi Luo, Ruide Liu, Bing Hu. Artificial intelligence in endoscopic diagnosis of esophageal squamous cell carcinoma and precancerous lesionsChinese Medical Journal 2025; 138(12): 1387 doi: 10.1097/CM9.0000000000003490
15
Xiang-Lei Yuan, Bing Hu. Comprehensive screening for superficial oesophageal squamous cell carcinoma and precancerous lesions – Authors' replyThe Lancet Gastroenterology & Hepatology 2024; 9(4): 292 doi: 10.1016/S2468-1253(24)00003-7
16
Xiang-Lei Yuan, Wei Liu, Yi-Xiu Lin, Qian-Yi Deng, Yuan-Ping Gao, Ling Wan, Bin Zhang, Tao Zhang, Wan-Hong Zhang, Xiao-Gang Bi, Guo-Dong Yang, Bi-Hui Zhu, Fan Zhang, Xiao-Bo Qin, Feng Pan, Xian-Hui Zeng, Hunza Chaudhry, Mao-Yin Pang, Juliana Yang, Jing-Yu Zhang, Bing Hu. Effect of an artificial intelligence-assisted system on endoscopic diagnosis of superficial oesophageal squamous cell carcinoma and precancerous lesions: a multicentre, tandem, double-blind, randomised controlled trialThe Lancet Gastroenterology & Hepatology 2024; 9(1): 34 doi: 10.1016/S2468-1253(23)00276-5
17
Xiao Zhou, Ao Wan, Xingang Mou, Hongling Gao, Zheng Xue. Third Ventricle Width Measurements Based on YOLO and Localized Intensity FeaturesIEEE Access 2025; 13: 36024 doi: 10.1109/ACCESS.2024.3438551