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用于胰腺疾病管理的人工智能

Artificial intelligence for the management of pancreatic diseases.

作者信息

Gorris Myrte, Hoogenboom Sanne A, Wallace Michael B, van Hooft Jeanin E

机构信息

Department of Gastroenterology and Hepatology, Amsterdam Gastroenterology Endocrinology Metabolism, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, The Netherlands.

Department of Gastroenterology and Hepatology, Mayo Clinic Jacksonville, Jacksonville, USA.

出版信息

Dig Endosc. 2021 Jan;33(2):231-241. doi: 10.1111/den.13875. Epub 2020 Dec 5.

Abstract

Novel artificial intelligence techniques are emerging in all fields of healthcare, including gastroenterology. The aim of this review is to give an overview of artificial intelligence applications in the management of pancreatic diseases. We performed a systematic literature search in PubMed and Medline up to May 2020 to identify relevant articles. Our results showed that the development of machine-learning based applications is rapidly evolving in the management of pancreatic diseases, guiding precision medicine in clinical, endoscopic and radiologic settings. Before implementation into clinical practice, further research should focus on the external validation of novel techniques, clarifying the accuracy and robustness of these models.

摘要

新型人工智能技术正在医疗保健的各个领域崭露头角,包括胃肠病学。本综述的目的是概述人工智能在胰腺疾病管理中的应用。我们在截至2020年5月的PubMed和Medline上进行了系统的文献检索,以识别相关文章。我们的结果表明,基于机器学习的应用在胰腺疾病管理中的发展正在迅速演变,在临床、内镜和放射学环境中指导精准医学。在应用于临床实践之前,进一步的研究应侧重于新技术的外部验证,阐明这些模型的准确性和稳健性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0428/7898901/9852a84e75fe/DEN-33-231-g001.jpg

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