人工智能 CT 在特发性肺纤维化预后模型中的应用。
The applications of CT with artificial intelligence in the prognostic model of idiopathic pulmonary fibrosis.
机构信息
Department of Basic Medical Sciences, Shanghai Jiao Tong University School of Medicine, Shanghai, P.R. China.
Department of Pulmonary and Critical Care Medicine, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, P.R. China.
出版信息
Ther Adv Respir Dis. 2024 Jan-Dec;18:17534666241282538. doi: 10.1177/17534666241282538.
Abstract
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.
摘要
该综述总结了 CT 和人工智能算法在特发性肺纤维化预后模型中的应用和模型构建步骤。它揭示了人工智能辅助模型目前的局限性和前景，帮助临床医生认识人工智能算法，并将其应用于更多的临床工作。
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