Literature DB >> 35081745

Discovering the first US FDA-approved computer-aided polyp detection system.

Marco Spadaccini1,2, Alessandro De Marco1,2, Gianluca Franchellucci1,2, Prateek Sharma3, Cesare Hassan4, Alessandro Repici1,2.   

Abstract

Colorectal cancer is the third most common cancer worldwide. Because of the slow progression of the precancerous precursors, an efficient endoscopic surveillance strategy may be expected. It seems that around one-fourth of colorectal malignancies are still missed during colonoscopy. Several endoscopic technologies have been introduced, without radical changes. Interest in the development of artificial intelligence applications in the medical field has grown in the past decade. Artificial intelligence can help to highlight a specific region of interest that needs closer examination for the identification of polyps. The aim of this review is to report the first clinical experiences with the first US FDA-approved, real-time, deep-learning, computer-aided detection system (GI Genius™, Medtronic).

Entities:  

Keywords:  cancer; colonoscopy; computer-aided; innovation; prevention; screening; technology

Mesh:

Year:  2022        PMID: 35081745     DOI: 10.2217/fon-2021-1135

Source DB:  PubMed          Journal:  Future Oncol        ISSN: 1479-6694            Impact factor:   3.404


  2 in total

Review 1.  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

2.  Real-time artificial intelligence (AI)-aided endoscopy improves adenoma detection rates even in experienced endoscopists: a cohort study in Singapore.

Authors:  Frederick H Koh; Jasmine Ladlad; Eng-Kiong Teo; Cui-Li Lin; Fung-Joon Foo
Journal:  Surg Endosc       Date:  2022-07-26       Impact factor: 3.453

  2 in total

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