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人工智能在胰腺疾病中的应用。 (备注:原文中“pancreaticobiliary diseases”直译为“胰腺胆管疾病”,这里译文按语义调整为“胰腺疾病”,因为一般说人工智能在胰腺疾病领域应用涵盖了胰腺胆管相关疾病情况 ,如果严格按字面翻译会稍显生硬且表意不完全精准。) 如果按严格字面翻译为:人工智能在胰腺胆管疾病中的应用。 但考虑到语言表达习惯,上述调整后的译文更符合中文表达习惯。 你可根据具体需求选用。 最终规范译文:人工智能在胰腺疾病中的应用。

Application of artificial intelligence in pancreaticobiliary diseases.

作者信息

Goyal Hemant, Mann Rupinder, Gandhi Zainab, Perisetti Abhilash, Zhang Zhongheng, Sharma Neil, Saligram Shreyas, Inamdar Sumant, Tharian Benjamin

机构信息

The Wright Center for Graduate Medical Education, 501 S. Washington Avenue, Scranton, PA 18505, USA.

Academic Hospitalist, Saint Agnes Medical Center, Fresno, CA, USA.

出版信息

Ther Adv Gastrointest Endosc. 2021 Feb 15;14:2631774521993059. doi: 10.1177/2631774521993059. eCollection 2021 Jan-Dec.

DOI:10.1177/2631774521993059
PMID:33644756
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7890713/
Abstract

The role of artificial intelligence and its applications has been increasing at a rapid pace in the field of gastroenterology. The application of artificial intelligence in gastroenterology ranges from colon cancer screening and characterization of dysplastic and neoplastic polyps to the endoscopic ultrasonographic evaluation of pancreatic diseases. Artificial intelligence has been found to be useful in the evaluation and enhancement of the quality measure for endoscopic retrograde cholangiopancreatography. Similarly, artificial intelligence techniques like artificial neural networks and faster region-based convolution network are showing promising results in early and accurate diagnosis of pancreatic cancer and its differentiation from chronic pancreatitis. Other artificial intelligence techniques like radiomics-based computer-aided diagnosis systems could help to differentiate between various types of cystic pancreatic lesions. Artificial intelligence and computer-aided systems also showing promising results in the diagnosis of cholangiocarcinoma and the prediction of choledocholithiasis. In this review, we discuss the role of artificial intelligence in establishing diagnosis, prognosis, predicting response to treatment, and guiding therapeutics in the pancreaticobiliary system.

摘要

人工智能及其应用在胃肠病学领域的作用一直在迅速增加。人工智能在胃肠病学中的应用范围从结肠癌筛查、发育异常和肿瘤性息肉的特征描述到胰腺疾病的内镜超声评估。已发现人工智能在内镜逆行胰胆管造影术的质量评估和提高方面很有用。同样,像人工神经网络和基于区域的快速卷积网络这样的人工智能技术在胰腺癌的早期准确诊断及其与慢性胰腺炎的鉴别诊断中显示出有希望的结果。其他人工智能技术,如基于放射组学的计算机辅助诊断系统,有助于区分各种类型的胰腺囊性病变。人工智能和计算机辅助系统在胆管癌的诊断和胆总管结石的预测方面也显示出有希望的结果。在这篇综述中,我们讨论了人工智能在胰腺胆道系统的诊断、预后、预测治疗反应和指导治疗方面的作用。

相似文献

1
Application of artificial intelligence in pancreaticobiliary diseases.人工智能在胰腺疾病中的应用。 (备注:原文中“pancreaticobiliary diseases”直译为“胰腺胆管疾病”,这里译文按语义调整为“胰腺疾病”,因为一般说人工智能在胰腺疾病领域应用涵盖了胰腺胆管相关疾病情况 ,如果严格按字面翻译会稍显生硬且表意不完全精准。) 如果按严格字面翻译为:人工智能在胰腺胆管疾病中的应用。 但考虑到语言表达习惯,上述调整后的译文更符合中文表达习惯。 你可根据具体需求选用。 最终规范译文:人工智能在胰腺疾病中的应用。
Ther Adv Gastrointest Endosc. 2021 Feb 15;14:2631774521993059. doi: 10.1177/2631774521993059. eCollection 2021 Jan-Dec.
2
Artificial intelligence implementation in pancreaticobiliary endoscopy.人工智能在胰胆内镜中的应用。
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Current and Emerging Applications of Artificial Intelligence (AI) in the Management of Pancreatobiliary (PB) disorders.当前及新兴的人工智能 (AI) 在胰胆 (PB) 疾病管理中的应用。
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Current status of artificial intelligence analysis for the treatment of pancreaticobiliary diseases using endoscopic ultrasonography and endoscopic retrograde cholangiopancreatography.使用内镜超声和内镜逆行胰胆管造影术进行人工智能分析治疗胰胆疾病的现状
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[Application of artificial intelligence for detection and classification of colon polyps].[人工智能在结肠息肉检测与分类中的应用]
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Radiomics in stratification of pancreatic cystic lesions: Machine learning in action.基于影像组学的胰腺囊性病变危险分层:机器学习的实践。
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New endoscopic ultrasonography techniques for pancreaticobiliary diseases.新的内镜超声技术用于胰胆疾病。
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本文引用的文献

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Deep learning-based pancreas segmentation and station recognition system in EUS: development and validation of a useful training tool (with video).基于深度学习的超声内镜胰腺分割与部位识别系统:一种实用训练工具的开发与验证(附视频)
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