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Honggang Yu

Showing results (71-80 of 130) with videos related to

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Eclinicalmedicine|December 5, 2022
A deep learning and natural language processing-based system for automatic identification and surveillance of high-risk patients undergoing upper endoscopy: A multicenter studyJia Li, Shan Hu, Conghui Shi, et al.
Gastrointestinal Endoscopy|September 22, 2019
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 trialDi Chen, Lianlian Wu, Yanxia Li, et al.
Journal of Gastroenterology and Hepatology|May 14, 2024
Assessment of the role of false-positive alerts in computer-aided polyp detection for assistance capabilitiesChenxia Zhang, Liwen Yao, Ruiqing Jiang, et al.
Digestive and Liver Disease : Official Journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver|January 21, 2024
An artificial intelligence system for chronic atrophic gastritis diagnosis and risk stratification under white light endoscopyXiao Tao, Yijie Zhu, Zehua Dong, et al.
JAMA Network Open|January 31, 2023
Assessment of the Role of Artificial Intelligence in the Association Between Time of Day and Colonoscopy QualityZihua Lu, Lihui Zhang, Liwen Yao, et al.
Gastrointestinal Endoscopy|December 13, 2021
Real-time use of artificial intelligence for diagnosing early gastric cancer by magnifying image-enhanced endoscopy: a multicenter diagnostic study (with videos)Xinqi He, Lianlian Wu, Zehua Dong, et al.
Gastrointestinal Endoscopy|July 10, 2021
Deep learning system compared with expert endoscopists in predicting early gastric cancer and its invasion depth and differentiation status (with videos)Lianlian Wu, Jing Wang, Xinqi He, et al.
Materials Today. Bio|April 17, 2025
Milk-derived exosomes as functional nanocarriers in wound healing: Mechanisms, applications, and future directionsJing Ruan, Yuping Xia, Yilei Ma, et al.
Frontiers in Oncology|May 7, 2021
A Novel Model Based on Deep Convolutional Neural Network Improves Diagnostic Accuracy of Intramucosal Gastric Cancer (With Video)Dehua Tang, Jie Zhou, Lei Wang, et al.
Clinical and Translational Gastroenterology|February 3, 2023
Complementary Effect of the Proportion of Overspeed Frames of Withdrawal and Withdrawal Time on Reflecting Colonoscopy Quality: A Retrospective, Observational StudyRongrong Gong, Liwen Yao, Lihui Zhang, et al.
Pageof 13

Showing results (71-80 of 130) with videos related to

Sort By:
Pageof 13
Eclinicalmedicine|December 5, 2022
A deep learning and natural language processing-based system for automatic identification and surveillance of high-risk patients undergoing upper endoscopy: A multicenter studyJia Li, Shan Hu, Conghui Shi, et al.
Gastrointestinal Endoscopy|September 22, 2019
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 trialDi Chen, Lianlian Wu, Yanxia Li, et al.
Journal of Gastroenterology and Hepatology|May 14, 2024
Assessment of the role of false-positive alerts in computer-aided polyp detection for assistance capabilitiesChenxia Zhang, Liwen Yao, Ruiqing Jiang, et al.
Digestive and Liver Disease : Official Journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver|January 21, 2024
An artificial intelligence system for chronic atrophic gastritis diagnosis and risk stratification under white light endoscopyXiao Tao, Yijie Zhu, Zehua Dong, et al.
JAMA Network Open|January 31, 2023
Assessment of the Role of Artificial Intelligence in the Association Between Time of Day and Colonoscopy QualityZihua Lu, Lihui Zhang, Liwen Yao, et al.
Gastrointestinal Endoscopy|December 13, 2021
Real-time use of artificial intelligence for diagnosing early gastric cancer by magnifying image-enhanced endoscopy: a multicenter diagnostic study (with videos)Xinqi He, Lianlian Wu, Zehua Dong, et al.
Gastrointestinal Endoscopy|July 10, 2021
Deep learning system compared with expert endoscopists in predicting early gastric cancer and its invasion depth and differentiation status (with videos)Lianlian Wu, Jing Wang, Xinqi He, et al.
Materials Today. Bio|April 17, 2025
Milk-derived exosomes as functional nanocarriers in wound healing: Mechanisms, applications, and future directionsJing Ruan, Yuping Xia, Yilei Ma, et al.
Frontiers in Oncology|May 7, 2021
A Novel Model Based on Deep Convolutional Neural Network Improves Diagnostic Accuracy of Intramucosal Gastric Cancer (With Video)Dehua Tang, Jie Zhou, Lei Wang, et al.
Clinical and Translational Gastroenterology|February 3, 2023
Complementary Effect of the Proportion of Overspeed Frames of Withdrawal and Withdrawal Time on Reflecting Colonoscopy Quality: A Retrospective, Observational StudyRongrong Gong, Liwen Yao, Lihui Zhang, et al.
Pageof 13