人工智能 CT 在特发性肺纤维化预后模型中的应用。

IF 3.3 3区医学 Q2 RESPIRATORY SYSTEM Therapeutic Advances in Respiratory Disease Pub Date : 2024-01-01 DOI:10.1177/17534666241282538

Zeyu Chen, Zheng Lin, Zihan Lin, Qi Zhang, Haoyun Zhang, Haiwen Li, Qing Chang, Jianqi Sun, Feng Li

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引用次数: 0

摘要

带回家的信息：综述总结了CT和人工智能算法在IPF预后模型中的应用以及模型的构建过程。它揭示了目前人工智能辅助模型的局限性和前景，有助于临床医生认识人工智能算法并将其应用到更多临床工作中。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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The applications of CT with artificial intelligence in the prognostic model of idiopathic pulmonary fibrosis.

Take home message: The review summarizes the applications of CT and AI algorithms for prognostic models in IPF and procedures of model construction. It reveals the current limitations and prospects of AI-aid models, and helps clinicians to recognize the AI algorithms and apply them to more clinical work.

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来源期刊

Therapeutic Advances in Respiratory Disease RESPIRATORY SYSTEM-

CiteScore

6.90

自引率

0.00%

发文量

审稿时长

15 weeks

期刊介绍： Therapeutic Advances in Respiratory Disease delivers the highest quality peer-reviewed articles, reviews, and scholarly comment on pioneering efforts and innovative studies across all areas of respiratory disease.