2002.04 - 2005.07 Professor, Master's Supervisor, Department of Gastroenterology, Renmin Hospital of Wuhan University
2005.07 - Present Professor, Doctoral Supervisor, Department of Gastroenterology, Renmin Hospital of Wuhan University
2007.12 - Present Director of Gastroenterology, Renmin Hospital of Wuhan University
2021: First Prize, Technological Invention Award of Hubei Province
2017: Second Prize, Scientific and Technological Progress Award of Hubei Province
2005: Third Prize, Natural Science Award of Hubei Province
Research
Early diagnosis and treatment of gastrointestinal tumors Artificial intelligence research in digestive endoscopy Molecular mechanisms of invasion, metastasis, and chemoresistance in gastrointestinal tumors
Multi-step validation of a deep learning-based system for the quantification of bowel preparation: a prospective, observational study, Zhou W, Yao L, Wu H, et al., 2021
Randomised controlled trial of WISENSE, a real-time quality improving system for monitoring blind spots during esophagogastroduodenoscopy, Wu L, Zhang J, Zhou W, et al., 2019
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, Wu L, Shang R, Sharma P, et al., 2021
Detection of colorectal adenomas with a real-time computer-aided system (ENDOANGEL): a randomised controlled study, Gong D, Wu L, Zhang J, et al., 2020
A deep neural network improves endoscopic detection of early gastric cancer without blind spots, Wu L, Zhou W, Wan X, et al., 2019
A deep learning-based system for identifying differentiation status and delineating the margins of early gastric cancer in magnifying narrow-band imaging endoscopy, Ling T, Wu L, Fu Y, et al., 2021
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 controlled trial, Wu L, He X, Liu M, et al., 2021
Intelligent difficulty scoring and assistance system for endoscopic extraction of common bile duct stones based on deep learning: multicenter study, Huang L, Lu X, Huang X, et al., 2021
An artificial intelligence-based quality improvement system significantly improved the efficacy of computer-aided detection system in colonoscopy: A four group parallel study, Yao L, Zhang L, Liu J, et al., 2021
Comparing blind spots of unsedated ultrafine, sedated, and unsedated conventional gastroscopy with and without artificial intelligence: a prospective, single-blind, 3-parallel-group, randomized, single-center trial, Chen D, Wu L, Li Y, et al., 2020
A novel artificial intelligence system for the assessment of bowel preparation (with video), Zhou J, Wu L, Wan X, et al., 2020
Deep learning-based pancreas segmentation and station recognition system in EUS: development and validation of a useful training tool (with video), Zhang J, Zhu L, Yao L, et al., 2020
Automated and real-time validation of gastroesophageal varices under esophagogastroduodenoscopy using a deep convolutional neural network: a multicenter retrospective study (with video), Chen M, Wang J, Xiao Y, et al., 2021
Artificial intelligence in the diagnosis of gastric precancerous conditions by image-enhanced endoscopy: a multicenter, diagnostic study (with video), Xu M, Zhou W, Wu L, et al., 2021
Deep learning system compared with expert endoscopists in predicting early gastric cancer and its invasion depth and differentiation status (with videos), Wu L, Wang J, He X, et al., 2022
Real-time artificial intelligence for detecting focal lesions and diagnosing neoplasms of the stomach by white-light endoscopy (with videos), Wu L, Xu M, Jiang X, et al., 2021
Real-time use of artificial intelligence for diagnosing early gastric cancer by magnifying image-enhanced endoscopy: a multicenter, diagnostic study (with videos), He X, Wu L, Dong Z, et al., 2021
Real-time automated diagnosis of colorectal cancer invasion depth using a deep learning model with multimodal data (with video), Lu Z, Xu Y, Yao L, et al., 2021
A deep learning method for delineating early gastric cancer resection margin under chromoendoscopy and white light endoscopy, An P, Yang D, Wang J, et al., 2020
A deep learning-based system for bile duct annotation and station recognition in linear endoscopic ultrasound, Yao L, Zhang J, Liu J, et al., 2021
A Novel Model Based on Deep Convolutional Neural Network Improves Diagnostic Accuracy of Intramucosal Gastric Cancer (With Video), Tang D, Zhou J, Wang L, et al., 2021
Impact of Computer-Assisted System on the Learning Curve and Quality in Esophagogastroduodenoscopy: Randomized Controlled Trial, Huang L, Liu J, Wu L, et al., 2021
Deep learning-based model for detecting 2019 novel coronavirus pneumonia on high-resolution computed tomography, Chen J, Wu L, Zhang J, et al., 2020
A Gastrointestinal Endoscopy Quality Control System Incorporated With Deep Learning Improved Endoscopist Performance in a Pretest and Post-Test Trial, Yao L, Liu J, Wu L, et al., 2021
Artificial intelligence in upper GI endoscopy - current status, challenges and future promise, Yu H, Singh R, Shin SH, Ho KY, 2021
A Deep Learning Model for Screening Multiple Abnormal Findings in Ophthalmic Ultrasonography (With Video), Chen D, Yu Y, Zhou Y, et al., 2021
Expert-level classification of gastritis by endoscopy using deep learning: a multicenter diagnostic trial, Mu G, Zhu Y, Niu Z, et al., 2021
A deep learning-based system for real-time image reporting during esophagogastroduodenoscopy: a multi-center study, Unknown
Area of Focus
Proteomics | Method Development | Technology Innovation | Biological Problems | Human Diseases | Treatment | Application | Research | Science | Medicine
