AI-powered evaluation of lung function for diagnosis of interstitial lung disease

This study shows that AI-based decision support on PFT interpretation improves accurate and early ILD diagnosis.

Authors

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Publication Details

Journal
Thorax
Published
2025-03-13
DOI
https://doi.org/10.1136/thorax-2024-221537
Citations
12
Primary Topic
Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
Type
article
Field-Weighted Citation Impact
18.22

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article

AI-powered evaluation of lung function for diagnosis of interstitial lung disease

Daiana Stolz, Daniela Gompelmann, Helmut Prosch, Peter Cerkl et al.
12 citations
Thorax
Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
18.22
article

AI-powered evaluation of lung function for diagnosis of interstitial lung disease

Daiana Stolz, Daniela Gompelmann, Helmut Prosch, Peter Cerkl, Marko Topalović, Stephan Keusch, Wim Janssens, Paul Desbordes, Erich Helfenstein, Paul Boetticher, Julie Maes, Mărioara Șimon, Maarten De Vos, Markus Steinwender, Maximilian Robert Gysan, Nicolas Henzi, Corina Mărginean, Patrick Heeb, Karolien Van Orshoven, Gianluca Calderari, Bernhard Baumgartner
article en
12 citations

Abstract

This study shows that AI-based decision support on PFT interpretation improves accurate and early ILD diagnosis.

ThoraxVol. 80(7)
University of Freiburg (DE), Iuliu Hațieganu University of Medicine and Pharmacy (RO), University Hospital of Basel (CH), Landeskrankenhaus Feldkirch (AT), Zürcher RehaZentrum Davos (CH), Swiss Paediatric Oncology Group (CH), Krankenhaus der Elisabethinen (AT), Hirslanden Klinik St. Anna (CH), Spital Limmattal (CH), Spitalul Clinic Judetean Mures (RO), Medical University of Vienna (AT), KU Leuven (BE)
Boehringer Ingelheim
Good health and well-being
Openalex Percentile: Top 1%
Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
18.22
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