ArticleAmerican journal of respiratory and critical care medicine2024
Deep Learning-based Segmentation of Computed Tomography Scans Predicts Disease Progression and Mortality in Idiopathic Pulmonary Fibrosis.
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Article in American journal of respiratory and critical care medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.
0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
15.1field-weighted citation impact, top 1% of its field
What it found
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Who cites it
29 citing papers in PubMed, 1 synthesis or guideline pooled it, 36 citations in OpenAlex.
- 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
- Automated CT-Based Quantification of Pulmonary Fibrosis Using Deep Learning-Based Lung Segmentation.Diagnostics (Basel, Switzerland) · 2026Article
- Admission-Based Machine-Learning Models for Predicting Mechanical Ventilation and Mortality in Fibrotic Interstitial Lung Disease: A Multicenter Cohort Study with External Validation.Balkan medical journal · 2026Article
- Non-Resolving Repair in Idiopathic Pulmonary Fibrosis: From Failed Cellular Transitions to Architectural Lock-In.International journal of molecular sciences · 2026Review
- Automated high-resolution CT analysis outperforms visual assessment in predicting interstitial lung disease progression in SSc.Rheumatology (Oxford, England) · 2026Article
- A systematic review of artificial intelligence-based diagnosis models for idiopathic pulmonary fibrosis.Journal of thoracic disease · 2026Review
- e-Lung computed tomography biomarkers are associated with outcomes in fibrotic interstitial lung diseases.ERJ open research · 2026Article
- Evolving landscape of imaging-based evaluation in systemic autoimmune rheumatic disease-associated interstitial lung disease: from visual assessment to quantitative artificial intelligence-assisted evaluation.Journal of rheumatic diseases · 2026Review
- Multimodal Autoencoder-Based Anomaly Detection Reveals Clinical-Radiologic Heterogeneity in Pulmonary Fibrosis.Medical sciences (Basel, Switzerland) · 2026Article
- Prospective study of fibrosis in the lung endpoints (PROFILE): characteristics of an incident cohort of patients with idiopathic pulmonary fibrosis.BMJ open respiratory research · 2026Observational
- Artificial intelligence in idiopathic pulmonary fibrosis: advances, challenges and future directions.The European respiratory journal · 2026Review
- A biomarker-guided framework for corticosteroid treatment stratification in acute exacerbation of idiopathic pulmonary fibrosis.Frontiers in pharmacology · 2026Article
- A multidimensional index with SpORespiratory research & clinical practice · 2026Article
- COVID-19 and Interstitial Lung Disease.Medicina (Kaunas, Lithuania) · 2025Review
- Exploring the role of PANoptosis in idiopathic pulmonary fibrosis based on scRNA-seq and bulk-seq.Clinical and experimental medicine · 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
- Radiomics and Artificial Intelligence in Pulmonary Fibrosis.Journal of imaging informatics in medicine · 2025Review
- Comprehensive review of pulmonary embolism imaging: past, present and future innovations in computed tomography (CT) and other diagnostic techniques.Japanese journal of radiology · 2025Review
- A Quantitative Imaging Measure of Progressive Pulmonary Fibrosis.American journal of respiratory and critical care medicine · 2025Article
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Authors and funding
14 authors at 9 institutions in 3 countries.
Muhunthan ThillaiRoyal Papworth Hospital, Cambridge, United Kingdom.
Justin M OldhamDivision of Pulmonary and Critical Care Medicine, University of Michigan, Ann Arbor, Michigan.ORCID 0000-0003-4957-8869
Alessandro RuggieroRoyal Papworth Hospital, Cambridge, United Kingdom.
Fahdi KanavatiQureight Ltd., Cambridge, United Kingdom.
Tom McLellanRoyal Papworth Hospital, Cambridge, United Kingdom.
Gauri SainiTranslational Medical Sciences, National Institute for Health and Care Research Biomedical Research Centre and Biodiscovery Institute, University of Nottingham, Nottingham, United Kingdom.
Simon R JohnsonTranslational Medical Sciences, National Institute for Health and Care Research Biomedical Research Centre and Biodiscovery Institute, University of Nottingham, Nottingham, United Kingdom.ORCID 0000-0002-9837-2763
Francois-Xavier BleTranslational Science and Experimental Medicine, Research and Early Development, Respiratory and Immunology, BioPharmaceuticals R&D, AstraZeneca, Cambridge, United Kingdom.
Adnan AzimTranslational Science and Experimental Medicine, Research and Early Development, Respiratory and Immunology, BioPharmaceuticals R&D, AstraZeneca, Cambridge, United Kingdom.
Kristoffer OstridgeTranslational Science and Experimental Medicine.
Adam PlattTranslational Science and Experimental Medicine.
Maria BelvisiNational Heart and Lung Institute, Imperial College London, London, United Kingdom.
Toby M MaherNational Heart and Lung Institute, Imperial College London, London, United Kingdom.ORCID 0000-0001-7192-9149
Philip L MolyneauxNational Heart and Lung Institute, Imperial College London, London, United Kingdom.ORCID 0000-0003-1301-8800
Papworth Hospital · GBAstraZeneca (United Kingdom) · GBUniversity of Nottingham · GBAstraZeneca (Sweden) · SEEight19 (United Kingdom) · GBGuy's and St Thomas' NHS Foundation Trust · GBUniversity of Michigan · USUniversity of Southampton · GBUniversity of Southern California · US
Funding
Proteomic Profiling of Idiopathic Pulmonary Fibrosis Progression TrajectoryR01HL169166 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Justin M Oldham · 2023 to 2026
$2.7MPrognostic Biomarker Development in Progressive Fibrosing Interstitial Lung DiseaseR01HL166290 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Justin M Oldham · 2024 to 2026
$2.2MNHLBI NIH HHS R01 HL166290NHLBI NIH HHS R01 HL169166Qureight Ltd.
Abstract
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Indexed as
Deep LearningDisease ProgressionIdiopathic Pulmonary FibrosisTomography, X-Ray ComputedAgedCohort StudiesFemaleHumansLungMaleMiddle AgedPredictive Value of TestsPrognosisProspective StudiesUnited KingdomIPFmachine learning
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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.