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人工智能在结直肠息肉和癌症中的潜在应用：最新进展与前景

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

作者信息

Wang Ke-Wei, Dong Ming

机构信息

Department of Gastrointestinal Surgery, the First Affiliated Hospital of China Medical University, Shenyang 110001, Liaoning Province, China.

出版信息

World J Gastroenterol. 2020 Sep 14;26(34):5090-5100. doi: 10.3748/wjg.v26.i34.5090.

DOI:10.3748/wjg.v26.i34.5090
PMID:32982111
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7495038/
Abstract

Since the advent of artificial intelligence (AI) technology, it has been constantly studied and has achieved rapid development. The AI assistant system is expected to improve the quality of automatic polyp detection and classification. It could also help prevent endoscopists from missing polyps and make an accurate optical diagnosis. These functions provided by AI could result in a higher adenoma detection rate and decrease the cost of polypectomy for hyperplastic polyps. In addition, AI has good performance in the staging, diagnosis, and segmentation of colorectal cancer. This article provides an overview of recent research focusing on the application of AI in colorectal polyps and cancer and highlights the advances achieved.

摘要

自人工智能（AI）技术出现以来，它一直在不断研究并取得了快速发展。人工智能辅助系统有望提高息肉自动检测和分类的质量。它还可以帮助内镜医师避免漏诊息肉并做出准确的光学诊断。人工智能提供的这些功能可以提高腺瘤检测率，并降低增生性息肉的息肉切除成本。此外，人工智能在结直肠癌的分期、诊断和分割方面表现良好。本文概述了近期关于人工智能在结直肠息肉和癌症中的应用的研究，并突出了所取得的进展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0008/7495038/dc9d789a3283/WJG-26-5090-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0008/7495038/4d80b5bbeb74/WJG-26-5090-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0008/7495038/c7732d14ddf1/WJG-26-5090-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0008/7495038/dc9d789a3283/WJG-26-5090-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0008/7495038/4d80b5bbeb74/WJG-26-5090-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0008/7495038/c7732d14ddf1/WJG-26-5090-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0008/7495038/dc9d789a3283/WJG-26-5090-g003.jpg

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本文引用的文献

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Accuracy of artificial intelligence on histology prediction and detection of colorectal polyps: a systematic review and meta-analysis.人工智能在组织学预测和结直肠息肉检测中的准确性：系统评价和荟萃分析。
Gastrointest Endosc. 2020 Jul;92(1):11-22.e6. doi: 10.1016/j.gie.2020.02.033. Epub 2020 Feb 29.
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Improved Accuracy in Optical Diagnosis of Colorectal Polyps Using Convolutional Neural Networks with Visual Explanations.使用具有视觉解释的卷积神经网络提高结直肠息肉光学诊断的准确性。
Gastroenterology. 2020 Jun;158(8):2169-2179.e8. doi: 10.1053/j.gastro.2020.02.036. Epub 2020 Feb 29.
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Effect of a deep-learning computer-aided detection system on adenoma detection during colonoscopy (CADe-DB trial): a double-blind randomised study.
整合真实世界结肠镜检查视频以提高人工智能息肉检测性能并减少人工标注工作量。
Diagnostics (Basel). 2025 Apr 1;15(7):901. doi: 10.3390/diagnostics15070901.
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A Narrative Review on the Role of Artificial Intelligence (AI) in Colorectal Cancer Management.关于人工智能（AI）在结直肠癌管理中作用的叙述性综述
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Artificial Intelligence and Early Detection of Breast, Lung, and Colon Cancer: A Narrative Review.人工智能与乳腺癌、肺癌和结肠癌的早期检测：一项叙述性综述。
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The effect of educational intervention based on health belief model on colorectal cancer screening behaviors.基于健康信念模式的教育干预对结直肠癌筛查行为的影响。
BMC Public Health. 2024 Jun 19;24(1):1640. doi: 10.1186/s12889-024-19180-8.
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Machine Learning and AI in Cancer Prognosis, Prediction, and Treatment Selection: A Critical Approach.机器学习与人工智能在癌症预后、预测及治疗选择中的应用：批判性探讨
J Multidiscip Healthc. 2023 Jun 26;16:1779-1791. doi: 10.2147/JMDH.S410301. eCollection 2023.
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