Literature DB >> 29653147

Artificial Intelligence-Assisted Polyp Detection for Colonoscopy: Initial Experience.

Masashi Misawa1, Shin-Ei Kudo2, Yuichi Mori2, Tomonari Cho2, Shinichi Kataoka2, Akihiro Yamauchi2, Yushi Ogawa2, Yasuharu Maeda2, Kenichi Takeda2, Katsuro Ichimasa2, Hiroki Nakamura2, Yusuke Yagawa2, Naoya Toyoshima2, Noriyuki Ogata2, Toyoki Kudo2, Tomokazu Hisayuki2, Takemasa Hayashi2, Kunihiko Wakamura2, Toshiyuki Baba2, Fumio Ishida2, Hayato Itoh3, Holger Roth3, Masahiro Oda3, Kensaku Mori3.   

Abstract

Mesh：

Year:  2018        PMID： 29653147     DOI： 10.1053/j.gastro.2018.04.003

Source DB:  PubMed          Journal:  Gastroenterology        ISSN： 0016-5085            Impact factor:   22.682


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  57 in total

Review 1.  State of the Art: The Impact of Artificial Intelligence in Endoscopy 2020.

Authors:  Jiyoung Lee; Michael B Wallace
Journal:  Curr Gastroenterol Rep       Date:  2021-04-14

2.  Robotics, artificial intelligence and distributed ledgers in surgery: data is key!

Authors:  M Chand; N Ramachandran; D Stoyanov; L Lovat
Journal:  Tech Coloproctol       Date:  2018-09-21       Impact factor: 3.781

3.  CAI4CAI: The Rise of Contextual Artificial Intelligence in Computer Assisted Interventions.

Authors:  Tom Vercauteren; Mathias Unberath; Nicolas Padoy; Nassir Navab
Journal:  Proc IEEE Inst Electr Electron Eng       Date:  2019-10-23       Impact factor: 10.961

Review 4.  Optimizing Screening Colonoscopy: Strategies and Alternatives.

Authors:  Hans-Dieter Allescher; Vincens Weingart
Journal:  Visc Med       Date:  2019-07-09

Review 5.  Artificial Intelligence and Polyp Detection.

Authors:  Nicholas Hoerter; Seth A Gross; Peter S Liang
Journal:  Curr Treat Options Gastroenterol       Date:  2020-01-21

6.  Use of Artificial Intelligence-Based Analytics From Live Colonoscopies to Optimize the Quality of the Colonoscopy Examination in Real Time: Proof of Concept.

Authors:  Shyam Thakkar; Neil M Carleton; Bharat Rao; Aslam Syed
Journal:  Gastroenterology       Date:  2020-01-13       Impact factor: 22.682

7.  Computer Vision in the Operating Room: Opportunities and Caveats.

Authors:  Lauren R Kennedy-Metz; Pietro Mascagni; Antonio Torralba; Roger D Dias; Pietro Perona; Julie A Shah; Nicolas Padoy; Marco A Zenati
Journal:  IEEE Trans Med Robot Bionics       Date:  2020-11-24

Review 8.  Artificial Intelligence-Based Polyp Detection in Colonoscopy: Where Have We Been, Where Do We Stand, and Where Are We Headed?

Authors:  Thomas Wittenberg; Martin Raithel
Journal:  Visc Med       Date:  2020-11-12

Review 9.  Artificial Intelligence in Lower Gastrointestinal Endoscopy: The Current Status and Future Perspective.

Authors:  Sebastian Manuel Milluzzo; Paola Cesaro; Leonardo Minelli Grazioli; Nicola Olivari; Cristiano Spada
Journal:  Clin Endosc       Date:  2021-01-13

Review 10.  Artificial Intelligence in Endoscopy.

Authors:  Yutaka Okagawa; Seiichiro Abe; Masayoshi Yamada; Ichiro Oda; Yutaka Saito
Journal:  Dig Dis Sci       Date:  2021-06-21       Impact factor: 3.199
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