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Review
. 2022 May 22;11(10):2923.
doi: 10.3390/jcm11102923.

Current Status and Future Perspectives of Artificial Intelligence in Colonoscopy

Yu Kamitani  1 , Kouichi Nonaka  1 , Hajime Isomoto  2
Affiliations
Review

Current Status and Future Perspectives of Artificial Intelligence in Colonoscopy

Yu Kamitani et al. J Clin Med. .

Abstract

The early endoscopic identification, resection, and treatment of precancerous adenoma and early-stage cancer has been shown to reduce not only the prevalence of colorectal cancer but also its mortality rate. Recent advances in endoscopic devices and imaging technology have dramatically improved our ability to detect colorectal lesions and predict their pathological diagnosis. In addition to this, rapid advances in artificial intelligence (AI) technology mean that AI-related research and development is now progressing in the diagnostic imaging field, particularly colonoscopy, and AIs (i.e., devices that mimic cognitive abilities, such as learning and problem-solving) already approved as medical devices are now being introduced into everyday clinical practice. Today, there is an increasing expectation that sophisticated AIs will be able to provide high-level diagnostic performance irrespective of the level of skill of the endoscopist. In this paper, we review colonoscopy-related AI research and the AIs that have already been approved and discuss the future prospects of this technology.

Keywords: adenoma detection rate; artificial intelligence; computer-aided detection/diagnosis; post colonoscopy colorectal cancer.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
EndoBRAIN-EYE output screen showing the detection of a colorectal polyp. Color and sound alert the user to the detection of a polyp. The location of the polyp is indicated by a rectangle displayed on the screen.
Figure 2
Figure 2
Adenoma detected and diagnosed by CADEYE. (a) The margins of the area around a suspected polyp detected under WLE are delineated. (b) This area is similarly delineated under LCI. (c) If the lesion is determined to be neoplastic under BLI, the endoscopic image is ringed in yellow, and the word “NEOPLASTIC” is displayed beneath. The location where the determination is being conducted is also shown to the right of the endoscopy image. (d) Magnified BLI image.
Figure 3
Figure 3
Hyperplasic polyp detected and diagnosed by CADEYE. (a) The margins of the area around a suspected polyp detected under WLE are delineated. (b) This area is similarly delineated under LCI. (c) If the lesion is determined to be hyperplastic under BLI, the endoscopic image is ringed in green, and the word “HYPERPLASTIC” is displayed beneath. The location where the determination is being conducted is also shown to the right of the endoscopy image. (d) Magnified BLI image.
See this image and copyright information in PMC

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