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Artificial Intelligence for the Determination of a Management Strategy for Diminutive Colorectal Polyps
The American Journal of Gastroenterology ( IF 8.0 ) Pub Date : 2020-01-01 , DOI: 10.14309/ajg.0000000000000476
Bum-Joo Cho 1, 2 , Chang Seok Bang 2, 3, 4
Affiliation  

Most colorectal polyps are diminutive, and malignant potential for these polyps is uncommon, especially for those in the rectosigmoid. However, many diminutive polyps are still being resected to determine whether these are adenomas or serrated/hyperplastic polyps. Resecting all the diminutive polyps is not cost-effective. Therefore, gastroenterologists have proposed optical diagnosis using image-enhanced endoscopy for polyp characterization. These technologies have achieved favorable outcomes, but are not widely available. Artificial intelligence has been used in clinical medicine to classify lesions. Here, artificial intelligence technology for the characterization of colorectal polyps is discussed in a decision-making context regarding diminutive colorectal polyps.

中文翻译:

用于确定小型结直肠息肉管理策略的人工智能

大多数结直肠息肉很小,这些息肉的恶性潜能并不常见,尤其是直肠乙状结肠息肉。然而,许多小型息肉仍在切除以确定这些是腺瘤还是锯齿状/增生性息肉。切除所有的小息肉并不划算。因此,胃肠病学家提出了使用图像增强内窥镜进行息肉表征的光学诊断。这些技术取得了良好的成果,但并未广泛应用。人工智能已被用于临床医学对病变进行分类。在这里,在有关小型结直肠息肉的决策背景中讨论了用于表征结直肠息肉的人工智能技术。
更新日期:2020-01-01
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