Literature DB >> 31615835

New artificial intelligence system: first validation study versus experienced endoscopists for colorectal polyp detection.

Cesare Hassan1, Michael B Wallace2, Prateek Sharma3, Roberta Maselli4, Vincenzo Craviotto4, Marco Spadaccini5, Alessandro Repici4.   

Abstract

Entities:  

Keywords:  cancer prevention; colonic polyps; endoscopy

Year:  2019        PMID： 31615835     DOI： 10.1136/gutjnl-2019-319914

Source DB:  PubMed          Journal:  Gut        ISSN： 0017-5749            Impact factor:   23.059


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  21 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.  Power of big data to improve patient care in gastroenterology.

Authors:  Jamie Catlow; Benjamin Bray; Eva Morris; Matt Rutter
Journal:  Frontline Gastroenterol       Date:  2021-05-28

3.  Prediction of outcome of treatment of acute severe ulcerative colitis using principal component analysis and artificial intelligence.

Authors:  Uday C Ghoshal; Sushmita Rai; Akshay Kulkarni; Ankur Gupta
Journal:  JGH Open       Date:  2020-04-18

Review 4.  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

5.  A new artificial intelligence system successfully detects and localises early neoplasia in Barrett's esophagus by using convolutional neural networks.

Authors:  Mohamed Hussein; Juana González-Bueno Puyal; David Lines; Vinay Sehgal; Daniel Toth; Omer F Ahmad; Rawen Kader; Martin Everson; Gideon Lipman; Jacobo Ortiz Fernandez-Sordo; Krish Ragunath; Jose Miguel Esteban; Raf Bisschops; Matthew Banks; Michael Haefner; Peter Mountney; Danail Stoyanov; Laurence B Lovat; Rehan Haidry
Journal:  United European Gastroenterol J       Date:  2022-05-06       Impact factor: 6.866

6.  Intrapapillary capillary loop classification in magnification endoscopy: open dataset and baseline methodology.

Authors:  Luis C García-Peraza-Herrera; Martin Everson; Laurence Lovat; Hsiu-Po Wang; Wen Lun Wang; Rehan Haidry; Danail Stoyanov; Sébastien Ourselin; Tom Vercauteren
Journal:  Int J Comput Assist Radiol Surg       Date:  2020-03-12       Impact factor: 2.924

Review 7.  Use of artificial intelligence in improving adenoma detection rate during colonoscopy: Might both endoscopists and pathologists be further helped.

Authors:  Emanuele Sinagra; Matteo Badalamenti; Marcello Maida; Marco Spadaccini; Roberta Maselli; Francesca Rossi; Giuseppe Conoscenti; Dario Raimondo; Socrate Pallio; Alessandro Repici; Andrea Anderloni
Journal:  World J Gastroenterol       Date:  2020-10-21       Impact factor: 5.742

8.  Medical needs related to the endoscopic technology and colonoscopy for colorectal cancer diagnosis.

Authors:  Juan Francisco Ortega-Morán; Águeda Azpeitia; Luisa F Sánchez-Peralta; Luis Bote-Curiel; Blas Pagador; Virginia Cabezón; Cristina L Saratxaga; Francisco M Sánchez-Margallo
Journal:  BMC Cancer       Date:  2021-04-26       Impact factor: 4.430

Review 9.  Potential applications of artificial intelligence in colorectal polyps and cancer: Recent advances and prospects.

Authors:  Ke-Wei Wang; Ming Dong
Journal:  World J Gastroenterol       Date:  2020-09-14       Impact factor: 5.742

Review 10.  Artificial intelligence technologies for the detection of colorectal lesions: The future is now.

Authors:  Simona Attardo; Viveksandeep Thoguluva Chandrasekar; Marco Spadaccini; Roberta Maselli; Harsh K Patel; Madhav Desai; Antonio Capogreco; Matteo Badalamenti; Piera Alessia Galtieri; Gaia Pellegatta; Alessandro Fugazza; Silvia Carrara; Andrea Anderloni; Pietro Occhipinti; Cesare Hassan; Prateek Sharma; Alessandro Repici
Journal:  World J Gastroenterol       Date:  2020-10-07       Impact factor: 5.742
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