Concepedia

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

Di Chen, Lianlian Wu, Yanxia Li, Jun Zhang, Jun Liu, Li Huang, Xiaoda Jiang, Xu Huang, Ganggang Mu, Shan Hu,

Gastrointestinal Endoscopy · 2019 · 94 citations · 20 references

DOI

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References

20

Playing Atari with Deep Reinforcement Learning

Volodymyr Mnih, Koray Kavukcuoglu, David Silver et al. · arXiv (Cornell University) · 2013 · 5.1K citations · Full text

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Performance measures for lower gastrointestinal endoscopy: a European Society of Gastrointestinal Endoscopy (ESGE) Quality Improvement Initiative

Siwan Thomas‐Gibson, Marek Bugajski, Michael Bretthauer et al. · Endoscopy · 2017 · 856 citations · Full text

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Diagnosis of thyroid cancer using deep convolutional neural network models applied to sonographic images: a retrospective, multicohort, diagnostic study

Xiangchun Li, Sheng Zhang, Qiang Zhang et al. · The Lancet Oncology · 2018 · 431 citations

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Accurate Classification of Diminutive Colorectal Polyps Using Computer-Aided Analysis

Peng‐Jen Chen, Meng-Chiung Lin, Mei-Ju Lai et al. · Gastroenterology · 2017 · 395 citations

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Randomised controlled trial of WISENSE, a real-time quality improving system for monitoring blind spots during esophagogastroduodenoscopy

Lianlian Wu, Jun Zhang, Wei Zhou et al. · Gut · 2019 · 314 citations · Full text

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