ArticleAnnals of the American Thoracic Society2024
Deep Learning-based Fibrosis Extent on Computed Tomography Predicts Outcome of Fibrosing Interstitial Lung Disease Independent of Visually Assessed Computed Tomography Pattern.
Article in Annals of the American Thoracic Society, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
35 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A systematic review of the role of quantitative CT in the prognostication and disease monitoring of interstitial lung disease.European respiratory review : an official journal of the European Respiratory Society · 2025Pooled it
- A CT-based score for predicting histopathological usual interstitial pneumonia features and predicting disease progression in smokers with fibrotic idiopathic interstitial pneumonia.European radiology · 2026Article
- Toward precision imaging in interstitial lung disease: advances in quantitative imaging and artificial intelligence.Current opinion in pulmonary medicine · 2026Review
- Non-Resolving Repair in Idiopathic Pulmonary Fibrosis: From Failed Cellular Transitions to Architectural Lock-In.International journal of molecular sciences · 2026Review
- Association of CYFRA 21-1 with quantitative CT-defined fibrotic progression in idiopathic pulmonary fibrosis.BMC pulmonary medicine · 2026Article
- Deep-Learning Algorithm Diagnostic Support for Usual Interstitial Pneumonia Pattern Recognition in Fibrotic Interstitial Lung Disease.Respirology (Carlton, Vic.) · 2026Article
- A Spatiotemporal Transformer Framework on 4D-CT for Early Prediction of Progressive Pulmonary Fibrosis.Journal of imaging informatics in medicine · 2026Article
- Progressive pulmonary fibrosis.European radiology · 2026Review
- e-Lung computed tomography biomarkers are associated with outcomes in fibrotic interstitial lung diseases.ERJ open research · 2026Article
- PCSK6 and clinical outcomes in the Pulmonary Fibrosis Foundation Patient Registry.Respiratory research · 2026Article
- Deep learning-based quantitative CT assessment of interstitial lung abnormalities: prognostic risk thresholds in a health screening population.Scientific reports · 2026Article
- Transforming lung transplantation with artificial intelligence: a narrative review from organ allocation to post-transplant management.Journal of thoracic disease · 2026Review
- A multidimensional index with SpORespiratory research & clinical practice · 2026Article
- Biomarkers on Fibrotic Lung Diseases Associated with Usual Interstitial Pneumonia.International journal of medical sciences · 2026Review
- A transfer learning-based multimodal model for early prediction of 90-day respiratory failure in dermatomyositis-associated interstitial lung disease.Frontiers in immunology · 2026Article
- Artificial intelligence in idiopathic pulmonary fibrosis: advances, challenges and future directions.The European respiratory journal · 2026Review
- Risk factors and prognostic indicators for progressive fibrosing interstitial lung disease: a deep learning-based CT quantification approach.European radiology · 2025Article
- Associations of interstitial lung disease subtype and CT pattern with lung function and survival.Thorax · 2025Article
- Fibrotic and vascular abnormalities quantified by an AI-based model are associated with outcomes in patients with idiopathic pulmonary fibrosis.BMC pulmonary medicine · 2025Article
- Interstitial Lung Disease Outcome Prediction Using Quantitative Densitometry Indices on Baseline Chest Computed Tomography.Diagnostics (Basel, Switzerland) · 2025Article
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Authors and funding
12 authors.
Funding
Abstract
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.