Literature DB >> 33179322

Artificial intelligence in colonoscopy - Now on the market. What's next?

Yuichi Mori1,2, Helmut Neumann3, Masashi Misawa2, Shin-Ei Kudo2, Michael Bretthauer1,4.   

Abstract

Adoption of artificial intelligence (AI) in clinical medicine is revolutionizing daily practice. In the field of colonoscopy, major endoscopy manufacturers have already launched their own AI products on the market with regulatory approval in Europe and Asia. This commercialization is strongly supported by positive evidence that has been recently established through rigorously designed prospective trials and randomized controlled trials. According to some of the trials, AI tools possibly increase the adenoma detection rate by roughly 50% and contribute to a 7-20% reduction of colonoscopy-related costs. Given that reliable evidence is emerging, together with active commercialization, this seems to be a good time for us to review and discuss the current status of AI in colonoscopy from a clinical perspective. In this review, we introduce the advantages and possible drawbacks of AI tools and explore their future potential including the possibility of obtaining reimbursement.
© 2020 Journal of Gastroenterology and Hepatology Foundation and John Wiley & Sons Australia, Ltd.

Entities:  

Keywords:  Colorectal cancer; Colorectal polyps; Computer-aided diagnosis

Mesh:

Year:  2021        PMID: 33179322     DOI: 10.1111/jgh.15339

Source DB:  PubMed          Journal:  J Gastroenterol Hepatol        ISSN: 0815-9319            Impact factor:   4.029


  7 in total

1.  Real-time semantic segmentation of gastric intestinal metaplasia using a deep learning approach.

Authors:  Vitchaya Siripoppohn; Rapat Pittayanon; Kasenee Tiankanon; Natee Faknak; Anapat Sanpavat; Naruemon Klaikaew; Peerapon Vateekul; Rungsun Rerknimitr
Journal:  Clin Endosc       Date:  2022-05-09

2.  Using of artificial intelligence: Current and future applications in colorectal cancer screening.

Authors:  Georgios Zacharakis; Abdulaziz Almasoud
Journal:  World J Gastroenterol       Date:  2022-06-28       Impact factor: 5.374

Review 3.  Artificial Intelligence in Digestive Endoscopy-Where Are We and Where Are We Going?

Authors:  Radu-Alexandru Vulpoi; Mihaela Luca; Adrian Ciobanu; Andrei Olteanu; Oana-Bogdana Barboi; Vasile Liviu Drug
Journal:  Diagnostics (Basel)       Date:  2022-04-08

Review 4.  Artificial intelligence in gastroenterology and hepatology: Status and challenges.

Authors:  Jia-Sheng Cao; Zi-Yi Lu; Ming-Yu Chen; Bin Zhang; Sarun Juengpanich; Jia-Hao Hu; Shi-Jie Li; Win Topatana; Xue-Yin Zhou; Xu Feng; Ji-Liang Shen; Yu Liu; Xiu-Jun Cai
Journal:  World J Gastroenterol       Date:  2021-04-28       Impact factor: 5.742

5.  Artificial Intelligence-Based Colorectal Polyp Histology Prediction: High Accuracy in Larger Polyps.

Authors:  Naoki Muguruma; Tetsuji Takayama
Journal:  Clin Endosc       Date:  2022-01-03

6.  Challenges in artificial intelligence for polyp detection.

Authors:  Yuichi Mori; Masashi Misawa; Shin-Ei Kudo
Journal:  Dig Endosc       Date:  2022-03-22       Impact factor: 6.337

Review 7.  Artificial intelligence-assisted colonoscopy: A review of current state of practice and research.

Authors:  Mahsa Taghiakbari; Yuichi Mori; Daniel von Renteln
Journal:  World J Gastroenterol       Date:  2021-12-21       Impact factor: 5.742

  7 in total

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