World Journal of Gastroenterology - Baishideng Publishing Group

BPG is committed to discovery and dissemination of knowledge

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

(165) (179) (0) (0) (0) (5) (5113) (24)

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 intelligence. Digestive Endoscopy 2024; 36(1) doi: 10.1111/den.14649
2	Xiaoyan Men, Yanfeng Wang, Yan Zhao, Huitao Zhang, Xiao Zhang. Endoscopy-Based Deep Learning Algorithms vs Endoscopists in Early Esophageal Squamous Cell Carcinoma Detection: A Systematic Review and Meta-Analysis. American Journal of Gastroenterology 2026; doi: 10.14309/ajg.0000000000004067
3	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, Han Lin. Development and validation of a multimodal deep learning model for early esophageal squamous neoplasia detection and invasion depth prediction. Endoscopy 2026; 58(05) doi: 10.1055/a-2780-0974
4	Xin-Rui Li, Mo-Wei Kong, Xiang-Feng Guan, Yu Gao. Revolutionizing upper gastrointestinal disease diagnosis: The transformative role of artificial intelligence in endoscopy. World Journal of Gastrointestinal Endoscopy 2025; 17(7): 108293 doi: 10.4253/wjge.v17.i7.108293 Abstract(295) \| Core Tip(245) \| Full Article(HTML)(1275) \| Full Article (PDF)-1731K(130) \| Full Article with Cover (PDF)-2068K(86) \| Full Article (XML)-97K(68) \| Audio-1238K(8) \| Peer-Review Report-232K(68) \| Answering Reviewers-40K(71) \| Times Cited (4) \| Total Visits (1933) \| Open
5	Farhang Hosseini, Farkhondeh Asadi, Hassan Emami, Rayan Ebnali Harari. Machine learning applications for early detection of esophageal cancer: a systematic review. BMC Medical Informatics and Decision Making 2023; 23(1) doi: 10.1186/s12911-023-02235-y
6	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 plaques. Journal of International Medical Research 2026; 54(2) doi: 10.1177/03000605261420504
7	Yue Xu, Renquan Luo, Jiali Tang, Lu Liu, Haideng Yang, Jinbang Peng, Zhenzhen Wang, Xiuxiu Jin, Lingyan Shen, Lingling Yan, Jiacheng Li, Binbin Gu, Jun Wang, Xiang Jin, Xianbin Zhou, Ying Zhou, Jiaxiu Ying, Congni Zhu, Siyan Yan, Shaowei Li, Xinli Mao, Yu Zhang. Artificial Intelligence-Assisted Confocal Laser Endomicroscopy for Predicting Invasion Depth of Superficial Esophageal Mucosal Lesions: A Cohort Study. Clinical and Translational Gastroenterology 2026; doi: 10.14309/ctg.0000000000001044
8	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 Review. IEEE Access 2025; 13 doi: 10.1109/ACCESS.2025.3548167
9	Qigang Feng, Jie Li, Xiaoping Tan, Qing Zhang. Advancements in AI Research for Digestive System Diseases. Journal of Biosciences and Medicines 2023; 11(12) doi: 10.4236/jbm.2023.1112016
10	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 Abstract(53) \| Core Tip(72) \| Full Article(HTML)(266) \| Full Article (PDF)-648K(40) \| Full Article with Cover (PDF)-1017K(28) \| Full Article (XML)-239K(35) \| Audio-1996K(21) \| Peer-Review Report-270K(26) \| Answering Reviewers-297K(24) \| Times Cited (0) \| Total Visits (460) \| Open
11	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 Frameworks. Diagnostics 2024; 14(11) doi: 10.3390/diagnostics14111129
12	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 carcinoma. Esophagus 2025; 22(2) doi: 10.1007/s10388-025-01106-x
13	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 Abstract(81) \| Core Tip(103) \| Full Article(HTML)(652) \| Full Article (PDF)-927K(222) \| Full Article with Cover (PDF)-1252K(243) \| Full Article (XML)-654K(29) \| Audio-804K(16) \| Peer-Review Report-260K(28) \| Answering Reviewers-124K(41) \| Times Cited (1) \| Total Visits (1246) \| Open
14	Sabrina Xin Zi Quek, Khek Yu Ho. Artificial Intelligence in Upper Gastrointestinal Diagnosis. The Korean Journal of Helicobacter and Upper Gastrointestinal Research 2025; 25(3) doi: 10.7704/kjhugr.2025.0024
15	Ji-Han Qi, Shi-Ling Huang, Shi-Zhu Jin. Novel milestones for early esophageal carcinoma: From bench to bed. World Journal of Gastrointestinal Oncology 2024; 16(4): 1104-1118 doi: 10.4251/wjgo.v16.i4.1104 Abstract(643) \| Core Tip(666) \| Full Article(HTML)(2423) \| Full Article (PDF)-4723K(213) \| Full Article with Cover (PDF)-4949K(305) \| Full Article (XML)-268K(146) \| Audio-95K(10) \| Peer-Review Report-310K(131) \| Answering Reviewers-1577K(153) \| Supplementary Material-993K(136) \| Times Cited (7) \| Total Visits (3620) \| Open
16	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 cancer. Thoracic Cancer 2024; 15(16) doi: 10.1111/1759-7714.15261
17	Nuoya Zhou, Xianglei Yuan, Wei Liu, Qi Luo, Ruide Liu, Bing Hu. Artificial intelligence in endoscopic diagnosis of esophageal squamous cell carcinoma and precancerous lesions. Chinese Medical Journal 2025; 138(12) doi: 10.1097/CM9.0000000000003490
18	Eyad Gadour, Bodour Raheem, Antonio Facciorusso. A critical review of technical progress, clinical heterogeneity, and implementation challenges of artificial intelligence in digestive endoscopy. Expert Review of Gastroenterology & Hepatology 2026; 20(4) doi: 10.1080/17474124.2026.2646299
19	月徐. Advances in Artificial Intelligence-Assisted Endoscopic Diagnosis of Esophageal Squamous Cell Carcinoma. Advances in Clinical Medicine 2026; 16(03) doi: 10.12677/acm.2026.1631187
20	Xiang-Lei Yuan, Bing Hu. Comprehensive screening for superficial oesophageal squamous cell carcinoma and precancerous lesions – Authors' reply. The Lancet Gastroenterology & Hepatology 2024; 9(4) doi: 10.1016/S2468-1253(24)00003-7
21	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 trial. The Lancet Gastroenterology & Hepatology 2024; 9(1) doi: 10.1016/S2468-1253(23)00276-5
22	Qingmiao Shi, Na Lou, Chen Xue. Advancements in artificial intelligence for cancer diagnosis and prognosis prediction: current applications and emerging opportunities. Frontiers in Cell and Developmental Biology 2026; 14 doi: 10.3389/fcell.2026.1769097
23	Limin Zou, Hongzhou Zhao, Jiaying Zhang, Jialing Xie, Xiaolu An, Xianhua Qi, Yuting Yue, Lijia Zhang, Xiajun Zhang, Kuancan Liu. Biomarkers for oesophageal squamous cell carcinoma and the role of HPV: Multi‑omics approaches and current evidence (Review). International Journal of Oncology 2026; 68(6) doi: 10.3892/ijo.2026.5887
24	Xiao Zhou, Ao Wan, Xingang Mou, Hongling Gao, Zheng Xue. Third Ventricle Width Measurements Based on YOLO and Localized Intensity Features. IEEE Access 2025; 13 doi: 10.1109/ACCESS.2024.3438551