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发现首个获得美国 FDA 批准的计算机辅助息肉检测系统。

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

机构信息

Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Italy.

Humanitas Clinical & Research Center-IRCCS, Endoscopy Unit, Rozzano, Italy.

出版信息

Future Oncol. 2022 Apr;18(11):1405-1412. doi: 10.2217/fon-2021-1135. Epub 2022 Jan 27.


DOI:10.2217/fon-2021-1135
PMID:35081745
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).

摘要

结直肠癌是全球第三大常见癌症。由于癌前病变的进展缓慢,可能需要一种有效的内镜监测策略。似乎在结肠镜检查中仍有四分之一左右的结直肠恶性肿瘤被遗漏。虽然已经引入了几种内镜技术,但并没有根本性的改变。在过去十年中,人们对人工智能在医学领域应用的发展产生了浓厚的兴趣。人工智能可以帮助突出需要更密切检查以识别息肉的特定感兴趣区域。本综述的目的是报告首个获得美国 FDA 批准的实时深度学习计算机辅助检测系统(GI Genius™,美敦力)的首个临床经验。

相似文献

[1]
Discovering the first US FDA-approved computer-aided polyp detection system.

Future Oncol. 2022-4

[2]
Trial protocol for COLO-DETECT: A randomized controlled trial of lesion detection comparing colonoscopy assisted by the GI Genius™ artificial intelligence endoscopy module with standard colonoscopy.

Colorectal Dis. 2022-10

[3]
Diagnostic Accuracy of Artificial Intelligence and Computer-Aided Diagnosis for the Detection and Characterization of Colorectal Polyps: Systematic Review and Meta-analysis.

J Med Internet Res. 2021-7-14

[4]
Current status and future perspective on artificial intelligence for lower endoscopy.

Dig Endosc. 2021-1

[5]
Artificial intelligence for the early detection of colorectal cancer: A comprehensive review of its advantages and misconceptions.

World J Gastroenterol. 2021-10-14

[6]
[Application of artificial intelligence for detection and classification of colon polyps].

Nan Fang Yi Ke Da Xue Xue Bao. 2021-2-25

[7]
Is artificial intelligence the final answer to missed polyps in colonoscopy?

World J Gastroenterol. 2020-9-21

[8]
Artificial intelligence technologies for the detection of colorectal lesions: The future is now.

World J Gastroenterol. 2020-10-7

[9]
Potential applications of artificial intelligence in colorectal polyps and cancer: Recent advances and prospects.

World J Gastroenterol. 2020-9-14

[10]
Artificial Intelligence-Assisted Colonoscopy for Detection of Colon Polyps: a Prospective, Randomized Cohort Study.

J Gastrointest Surg. 2021-8

引用本文的文献

[1]
Combining techniques and technologies increases adenoma detection rates in colonoscopy: More is more.

World J Gastrointest Endosc. 2025-8-16

[2]
GI Genius increases small and right-sided adenoma and sessile serrated lesion detection rate when used with EndoCuff in a real-world setting: a retrospective United States study.

Clin Endosc. 2025-5

[3]
Image enhanced colonoscopy: updates and prospects-a review.

Transl Gastroenterol Hepatol. 2023-7-25

[4]
Artificial Intelligence Applied to Colonoscopy: Is It Time to Take a Step Forward?

Cancers (Basel). 2023-4-7

[5]
Real-time artificial intelligence (AI)-aided endoscopy improves adenoma detection rates even in experienced endoscopists: a cohort study in Singapore.

Surg Endosc. 2023-1

[6]
Artificial Intelligence in Digestive Endoscopy-Where Are We and Where Are We Going?

Diagnostics (Basel). 2022-4-8

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