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Current Treatment Options in Gastroenterology
Erschienen in:

26.03.2020 | Endoscopy (P Siersema, Section Editor)

Artificial Intelligence for Colorectal Polyp Detection and Characterization

verfasst von: Yuichi Mori, MD, PhD, Shin-ei Kudo, MD, PhD, Masashi Misawa, MD, PhD, Kenichi Takeda, MD, PhD, Toyoki Kudo, MD, PhD, Hayato Itoh, PhD, Masahiro Oda, PhD, Kensaku Mori, PhD

Erschienen in: Current Treatment Options in Gastroenterology | Ausgabe 2/2020

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Abstract

Purpose of review

To elucidate the advantages and limitations of existing artificial intelligence technologies for colonoscopy by evaluating the currently available eight prospective studies (two for automated polyp detection and six for automated polyp characterization).

Recent findings

AI is expected to mitigate the inherent risk of human error causing a polyp to be missed or mischaracterized by assisting polyp detection and characterization (i.e., pathological prediction). Some of the prospective studies clearly demonstrate the potential for AI to improve adenoma detection rates, which is considered one of the most important quality indicators for colonoscopies, or achieve a > 90% negative predictive value in differentiating diminutive (≤ 5 mm) rectosigmoid adenomas which is considered as a threshold required for optical diagnosis. However, it is also important to consider the negative impacts of AI, such as the deskilling effect on healthcare providers, which has yet to be sufficiently addressed.

Summary

We believe that AI can become standard practice in colonoscopy procedures within several years, given its rapid spread and its expected low implementation cost. However, considering the limited evidence supporting the use of AI for colonoscopy, additional studies should be done to explore the long-term efficacy and safety of AI in colonoscopy and implement robust endpoints such as colorectal cancer incidence and mortality.
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Metadaten
Titel
Artificial Intelligence for Colorectal Polyp Detection and Characterization
verfasst von
Yuichi Mori, MD, PhD
Shin-ei Kudo, MD, PhD
Masashi Misawa, MD, PhD
Kenichi Takeda, MD, PhD
Toyoki Kudo, MD, PhD
Hayato Itoh, PhD
Masahiro Oda, PhD
Kensaku Mori, PhD
Publikationsdatum
26.03.2020
Verlag
Springer US
Erschienen in
Current Treatment Options in Gastroenterology / Ausgabe 2/2020
Print ISSN: 1092-8472
Elektronische ISSN: 1534-309X
DOI
https://doi.org/10.1007/s11938-020-00287-x

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