Literature DB >> 33485853

Deep Neural Network Accurately Predicts Prognosis of Ulcerative Colitis Using Endoscopic Images.

Kento Takenaka1, Kazuo Ohtsuka2, Toshimitsu Fujii1, Shiori Oshima3, Ryuichi Okamoto1, Mamoru Watanabe4.   

Abstract

Entities:  

Keywords:  Artificial Intelligence; Diagnostic; IBD; Mucosal Healing; Prognostic

Year:  2021        PMID: 33485853     DOI: 10.1053/j.gastro.2021.01.210

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


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  5 in total

Review 1.  Artificial Intelligence for Disease Assessment in Inflammatory Bowel Disease: How Will it Change Our Practice?

Authors:  Ryan W Stidham; Kento Takenaka
Journal:  Gastroenterology       Date:  2022-01-04       Impact factor: 22.682

Review 2.  Artificial intelligence for endoscopy in inflammatory bowel disease.

Authors:  Kento Takenaka; Ami Kawamoto; Ryuichi Okamoto; Mamoru Watanabe; Kazuo Ohtsuka
Journal:  Intest Res       Date:  2022-01-07

Review 3.  Clinical application and diagnostic accuracy of artificial intelligence in colonoscopy for inflammatory bowel disease: systematic review.

Authors:  Linda S Yang; Evelyn Perry; Leonard Shan; Helen Wilding; William Connell; Alexander J Thompson; Andrew C F Taylor; Paul V Desmond; Bronte A Holt
Journal:  Endosc Int Open       Date:  2022-07-15

4.  A Systematic Review of Artificial Intelligence and Machine Learning Applications to Inflammatory Bowel Disease, with Practical Guidelines for Interpretation.

Authors:  Imogen S Stafford; Mark M Gosink; Enrico Mossotto; Sarah Ennis; Manfred Hauben
Journal:  Inflamm Bowel Dis       Date:  2022-10-03       Impact factor: 7.290

Review 5.  Artificial intelligence in gastrointestinal endoscopy for inflammatory bowel disease: a systematic review and new horizons.

Authors:  Gian Eugenio Tontini; Alessandro Rimondi; Marta Vernero; Helmut Neumann; Maurizio Vecchi; Cristina Bezzio; Flaminia Cavallaro
Journal:  Therap Adv Gastroenterol       Date:  2021-06-10       Impact factor: 4.409

  5 in total

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