Comparison of the baseline clinical and HRCT characteristics of Insilico’s ISM001_055 phase 2a trial cohort in China with real-world IPF datasets

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Deep learning-Based Airway and Vessel Volume are Associated with Increased Risk of Mortality in Connective Tissue Disease-Related Interstitial Lung Disease

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Validation of a deep learning approach for epicardial adipose tissue segmentation in computed tomography

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Fibrotic and vascular abnormalities quantified by an AI-based model are associated with outcomes in patients with idiopathic pulmonary fibrosis

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Prognostic model for idiopathic pulmonary fibrosis using context-aware sequential-parallel hybrid transformer and enriched clinical information

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Applications of Medical Artificial Intelligence

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Disentanglement of Biological and Technical Factors via Latent Space Rotation in Clinical Imaging Improves Disease Pattern Discovery

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Multi-modal Machine Learning Classifier for Idiopathic Pulmonary Fibrosis Predicts Mortality in Interstitial Lung Diseases (Respiratory Investigation)

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AI Model May Predict Disease Progression in Idiopathic Pulmonary Fibrosis

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Prognostication in patients with idiopathic pulmonary fibrosis using quantitative airway analysis from HRCT: a retrospective study

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