Higher rate of colon polyp detection aided by an artificial intelligent software

Masaaki Iwatsuki^{1

2}, Kazuto Harada^{1

2}, Hideo Baba², Jaffer A Ajani¹

Affiliations

¹ Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
² Department of Gastroenterological Surgery, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan.

Editorial

Masaaki Iwatsuki et al. Transl Gastroenterol Hepatol. 2018.

. 2018 Dec 24:3:106.

doi: 10.21037/tgh.2018.12.05. eCollection 2018.

Masaaki Iwatsuki^{1

2}, Kazuto Harada^{1

2}, Hideo Baba², Jaffer A Ajani¹

¹ Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
² Department of Gastroenterological Surgery, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan.

No abstract available

Conflict of interest statement

Conflicts of Interest: The authors have no conflicts of interest to declare.

Deep Learning Localizes and Identifies Polyps in Real Time With 96% Accuracy in Screening Colonoscopy.
Urban G, Tripathi P, Alkayali T, Mittal M, Jalali F, Karnes W, Baldi P. Urban G, et al. Gastroenterology. 2018 Oct;155(4):1069-1078.e8. doi: 10.1053/j.gastro.2018.06.037. Epub 2018 Jun 18. Gastroenterology. 2018. PMID: 29928897 Free PMC article.

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