Idiopathic Pulmonary Fibrosis Mortality Risk Prediction Based on Artificial Intelligence: The CTPF Model

Idiopathic Pulmonary Fibrosis Mortality Risk Prediction Based on Artificial Intelligence: The CTPF Model

Background: Idiopathic pulmonary fibrosis (IPF) needs a precise prediction method for its prognosis. This study took advantage of artificial intelligence (AI) deep learning to develop a new mortality risk prediction model for IPF patients.Methods: We established an artificial intelligence honeycomb...

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Bibliographic Details
Main Authors: Xuening Wu, Chengsheng Yin, Xianqiu Chen, Yuan Zhang, Yiliang Su, Jingyun Shi, Dong Weng, Xing Jiang, Aihong Zhang, Wenqiang Zhang, Huiping Li
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-04-01
Series:Frontiers in Pharmacology
Subjects:
artificial intelligence (AI)
deep learning
semantic segmentation
idiopathic pulmonary fibrosis (IPF)
pulmonary fibrosis stage
disease severity grade
Online Access:https://www.frontiersin.org/articles/10.3389/fphar.2022.878764/full

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https://www.frontiersin.org/articles/10.3389/fphar.2022.878764/full

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