Deep-learning networks accurately detect pulmonary hypertension in patients with idiopathic pulmonary fibrosis
Deep-learning algorithms can accurately predict PH in patients with IPF. Further validation in a larger external cohort is warranted.
Authors
- Vasileios Kouranos (ORCID: https://orcid.org/0000-0002-2723-0928)
- Alexandra Arvanitaki (ORCID: https://orcid.org/0000-0003-3180-7280)
- Laura Price (ORCID: https://orcid.org/0000-0001-5250-660X)
- Alexandra Lawrence (ORCID: https://orcid.org/0000-0002-8911-4252)
- Gerhard‐Paul Diller (ORCID: https://orcid.org/0000-0003-3050-5248)
- Michael Athanassios Gatzoulis (ORCID: https://orcid.org/0000-0002-2700-7232)
- Thomas R. Semple (ORCID: https://orcid.org/0000-0003-3740-6429)
- S John Wort
- Wěi Li (ORCID: https://orcid.org/0000-0002-9522-4474)
- Bhashkar Mukherjee
Institutions
- Guy's and St Thomas' NHS Foundation Trust (GB)
- Harefield Hospital (GB)
- Royal Brompton Hospital (GB)
- University Hospital Münster (DE)
- Imperial College London (GB)
Publication Details
- Journal
- ERJ Open Research
- Published
- 2025-12-18
- DOI
- https://doi.org/10.1183/23120541.00672-2025
- Primary Topic
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
- Type
- article
- Field-Weighted Citation Impact
- 0.00