P
Pu Wang
Researcher at Peking Union Medical College
Publications - 19
Citations - 1395
Pu Wang is an academic researcher from Peking Union Medical College. The author has contributed to research in topics: Colonoscopy & Medicine. The author has an hindex of 7, co-authored 15 publications receiving 723 citations.
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Journal ArticleDOI
Real-time automatic detection system increases colonoscopic polyp and adenoma detection rates: a prospective randomised controlled study.
Pu Wang,Tyler M. Berzin,Jeremy R. Glissen Brown,Shishira Bharadwaj,Aymeric Becq,Xun Xiao,Peixi Liu,Liangping Li,Yan Song,Di Zhang,Yi Li,Guangre Xu,Mengtian Tu,Xiaogang Liu +13 more
TL;DR: In a low prevalent ADR population, an automatic polyp detection system during colonoscopy resulted in a significant increase in the number of diminutive adenomas detected, as well as an increase inThe rate of hyperplastic polyps.
Journal ArticleDOI
Development and validation of a deep-learning algorithm for the detection of polyps during colonoscopy
Pu Wang,Xiao Xiao,Jeremy R. Glissen Brown,Tyler M. Berzin,Mengtian Tu,Fei Xiong,Xiao Hu,Peixi Liu,Yan Song,Di Zhang,Xue Yang,Liangping Li,Jiong He,Xin Yi,Jingjia Liu,Xiaogang Liu +15 more
TL;DR: A deep-learning algorithm can detect polyps in the colon in real time and with high sensitivity and specificity, according to validation studies with prospectively collected images and videos from colonoscopies performed in 1,138 patients.
Journal ArticleDOI
Effect of a deep-learning computer-aided detection system on adenoma detection during colonoscopy (CADe-DB trial): a double-blind randomised study.
Pu Wang,Xiaogang Liu,Tyler M. Berzin,Jeremy R. Glissen Brown,Peixi Liu,Chao Zhou,Lei Lei,Liangping Li,Zhenzhen Guo,Shan Lei,Fei Xiong,Han Wang,Yan Song,Yan Pan,Guanyu Zhou +14 more
TL;DR: The effectiveness of a CADe system that avoids potential operational bias during colonoscopy is assessed in a double-blind randomised trial at the endoscopy centre in Caotang branch hospital of Sichuan Provincial People's Hospital in China.
Journal ArticleDOI
Lower Adenoma Miss Rate of Computer-Aided Detection-Assisted Colonoscopy vs Routine White-Light Colonoscopy in a Prospective Tandem Study.
Pu Wang,Peixi Liu,Jeremy R. Glissen Brown,Tyler M. Berzin,Guanyu Zhou,Shan Lei,Xiaogang Liu,Liangping Li,Xun Xiao +8 more
TL;DR: CADe colonoscopy reduced the overall miss rate of adenomas by endoscopists using white-light endoscopy, and Routine use of CADe might reduce the incidence of interval colon cancers.
Journal ArticleDOI
Deep Learning Computer-aided Polyp Detection Reduces Adenoma Miss Rate: A United States Multi-center Randomized Tandem Colonoscopy Study (CADeT-CS Trial).
Jeremy R. Glissen Brown,Nabil M Mansour,Pu Wang,Maria Aguilera Chuchuca,Scott B. Minchenberg,Madhuri Chandnani,Lin Liu,Seth A. Gross,Neil Sengupta,Tyler M. Berzin +9 more
TL;DR: Wang et al. as mentioned in this paper conducted a prospective, multi-center, single-blind randomized tandem colonoscopy study to evaluate a deep-learning based computer-aided polyp detection (CADe) system (EndoScreener, Shanghai Wision AI, China).