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Real-time artificial intelligence (AI)-aided endoscopy improves adenoma detection rates even in experienced endoscopists: a cohort study in Singapore

Frederick H. Koh, Jasmine Ladlad, Fung-Joon Foo, Winson Jianhong Tan, Sharmini Su Sivarajah, Leonard M. L. Ho, Jia-Lin Ng, Frederick H. Koh, Cheryl Chong, Darius Kang Lie Aw,

Surgical Endoscopy · 2022 · 37 citations · 18 references

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18

Bowel preparation for colonoscopy: European Society of Gastrointestinal Endoscopy (ESGE) Guideline – Update 2019

Cesare Hassan, James E. East, Franco Radaelli et al. · Endoscopy · 2019 · 630 citations · Full text

, , +14

Improving Computer-Aided Detection UsingConvolutional Neural Networks and Random View Aggregation

Holger R. Roth, Le Lü, Jiamin Liu et al. · IEEE Transactions on Medical Imaging · 2015 · 589 citations · Full text

, , +15

Advanced imaging for detection and differentiation of colorectal neoplasia: European Society of Gastrointestinal Endoscopy (ESGE) Guideline

Michał F. Kamiński, Cesare Hassan, Raf Bisschops et al. · Endoscopy · 2014 · 430 citations · Full text

, , +16

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 et al. · ˜The œLancet. Gastroenterology & hepatology · 2020 · 405 citations

, , +16

Advanced imaging for detection and differentiation of colorectal neoplasia: European Society of Gastrointestinal Endoscopy (ESGE) Guideline – Update 2019

Raf Bisschops, James E. East, Cesare Hassan et al. · Endoscopy · 2019 · 327 citations · Full text

, , +17