| Detection of colorectal adenomas with a real-time computer-aided system (ENDOANGEL): a randomised controlled study D Gong, L Wu, J Zhang, G Mu, L Shen, J Liu, Z Wang, W Zhou, P An, ... The lancet Gastroenterology & hepatology 5 (4), 352-361, 2020 | 299 | 2020 |
| Evaluation of the effects of an artificial intelligence system on endoscopy quality and preliminary testing of its performance in detecting early gastric cancer: a randomized … L Wu, X He, M Liu, H Xie, P An, J Zhang, H Zhang, Y Ai, Q Tong, M Guo, ... Endoscopy 53 (12), 1199-1207, 2021 | 105 | 2021 |
| A novel artificial intelligence system for the assessment of bowel preparation (with video) J Zhou, L Wu, X Wan, L Shen, J Liu, J Zhang, X Jiang, Z Wang, S Yu, ... Gastrointestinal Endoscopy 91 (2), 428-435. e2, 2020 | 105 | 2020 |
| Deep learning–based pancreas segmentation and station recognition system in EUS: Development and validation of a useful training tool (with video) J Zhang, L Zhu, L Yao, X Ding, D Chen, H Wu, Z Lu, W Zhou, L Zhang, ... Gastrointestinal endoscopy 92 (4), 874-885. e3, 2020 | 69 | 2020 |
| Effect of a deep learning-based system on the miss rate of gastric neoplasms during upper gastrointestinal endoscopy: a single-centre, tandem, randomised controlled trial L Wu, R Shang, P Sharma, W Zhou, J Liu, L Yao, Z Dong, J Yuan, Z Zeng, ... The Lancet Gastroenterology & Hepatology 6 (9), 700-708, 2021 | 62 | 2021 |
| Effect of an artificial intelligence-based quality improvement system on efficacy of a computer-aided detection system in colonoscopy: a four-group parallel study L Yao, L Zhang, J Liu, W Zhou, C He, J Zhang, L Wu, H Wang, Y Xu, ... Endoscopy 54 (08), 757-768, 2022 | 49 | 2022 |
| WNT4 secreted by tumor tissues promotes tumor progression in colorectal cancer by activation of the Wnt/β-catenin signalling pathway D Yang, Q Li, R Shang, L Yao, L Wu, M Zhang, L Zhang, M Xu, Z Lu, ... Journal of Experimental & Clinical Cancer Research 39, 1-18, 2020 | 45 | 2020 |
| MFAP2 is overexpressed in gastric cancer and promotes motility via the MFAP2/integrin α5β1/FAK/ERK pathway L Yao, L Wu, L Zhang, W Zhou, L Wu, K He, J Ren, Y Deng, D Yang, ... Oncogenesis 9 (2), 17, 2020 | 38 | 2020 |
| Multi-step validation of a deep learning-based system for the quantification of bowel preparation: a prospective, observational study W Zhou, L Yao, H Wu, B Zheng, S Hu, L Zhang, X Li, C He, Z Wang, Y Li, ... The Lancet Digital Health 3 (11), e697-e706, 2021 | 22 | 2021 |
| A deep learning-based system for bile duct annotation and station recognition in linear endoscopic ultrasound L Yao, J Zhang, J Liu, L Zhu, X Ding, D Chen, H Wu, Z Lu, W Zhou, ... EBioMedicine 65, 2021 | 22 | 2021 |
| miR-497 defect contributes to gastric cancer tumorigenesis and progression via regulating CDC42/ITGB1/FAK/PXN/AKT signaling L Zhang, L Yao, W Zhou, J Tian, B Ruan, Z Lu, Y Deng, Q Li, Z Zeng, ... Molecular Therapy-Nucleic Acids 25, 567-577, 2021 | 18 | 2021 |
| Real-time automated diagnosis of colorectal cancer invasion depth using a deep learning model with multimodal data (with video) Z Lu, Y Xu, L Yao, W Zhou, W Gong, G Yang, M Guo, B Zhang, X Huang, ... Gastrointestinal Endoscopy 95 (6), 1186-1194. e3, 2022 | 14 | 2022 |
| A deep learning model for screening multiple abnormal findings in ophthalmic ultrasonography (with video) D Chen, Y Yu, Y Zhou, B Peng, Y Wang, S Hu, M Tian, S Wan, Y Gao, ... Translational vision science & technology 10 (4), 22-22, 2021 | 11 | 2021 |
| Rapid, high-resolution, label-free, and 3-dimensional imaging to differentiate colorectal adenomas and non-neoplastic polyps with micro-optical coherence tomography Q Ding, Y Deng, X Yu, J Yuan, Z Zeng, G Mu, X Wan, J Zhang, W Zhou, ... Clinical and Translational Gastroenterology 10 (6), e00049, 2019 | 10 | 2019 |
| A gastrointestinal endoscopy quality control system incorporated with deep learning improved endoscopist performance in a pretest and post-test trial L Yao, J Liu, L Wu, L Zhang, X Hu, J Liu, Z Lu, D Gong, P An, J Zhang, ... Clinical and translational gastroenterology 12 (6), e00366, 2021 | 9 | 2021 |
| Effect of a deep learning–based automatic upper GI endoscopic reporting system: a randomized crossover study (with video) L Zhang, Z Lu, L Yao, Z Dong, W Zhou, C He, R Luo, M Zhang, J Wang, ... Gastrointestinal Endoscopy 98 (2), 181-190. e10, 2023 | 8 | 2023 |
| Explainable artificial intelligence incorporated with domain knowledge diagnosing early gastric neoplasms under white light endoscopy Z Dong, J Wang, Y Li, Y Deng, W Zhou, X Zeng, D Gong, J Liu, J Pan, ... NPJ Digital Medicine 6 (1), 64, 2023 | 8 | 2023 |
| Assessment of the role of artificial intelligence in the association between time of day and colonoscopy quality Z Lu, L Zhang, L Yao, D Gong, L Wu, M Xia, J Zhang, W Zhou, X Huang, ... JAMA Network Open 6 (1), e2253840-e2253840, 2023 | 8 | 2023 |
| Effect of artificial intelligence on novice-performed colonoscopy: a multicenter randomized controlled tandem study L Yao, X Li, Z Wu, J Wang, C Luo, B Chen, R Luo, L Zhang, C Zhang, ... Gastrointestinal Endoscopy 99 (1), 91-99. e9, 2024 | 6 | 2024 |
| Development and validation of an artificial intelligence‐based system for predicting colorectal cancer invasion depth using multi‐modal data L Yao, Z Lu, G Yang, W Zhou, Y Xu, M Guo, X Huang, C He, R Zhou, ... Digestive Endoscopy 35 (5), 625-635, 2023 | 6 | 2023 |
