Artificial intelligence improves detection and classification of pulmonary venous hypertension related to left ventricular diastolic dysfunction by chest radiography.

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Title: Artificial intelligence improves detection and classification of pulmonary venous hypertension related to left ventricular diastolic dysfunction by chest radiography.
Authors: White RD; Division of Augmented Intelligence in Imaging, Mayo Clinic Florida, Jacksonville, FL, USA. white.richard1@mayo.edu.; Division of Cardiothoracic Imaging, Department of Radiology, Mayo Clinic Florida, Jacksonville, FL, USA. white.richard1@mayo.edu.; Department of Radiology, Mayo Clinic Florida, 4456 San Pablo Road, Jacksonville, FL, 32224, USA. white.richard1@mayo.edu., Demirer M; Division of Augmented Intelligence in Imaging, Mayo Clinic Florida, Jacksonville, FL, USA., Sebro RA; Division of Augmented Intelligence in Imaging, Mayo Clinic Florida, Jacksonville, FL, USA., Cortopassi IO; Division of Cardiothoracic Imaging, Department of Radiology, Mayo Clinic Florida, Jacksonville, FL, USA., Stowell JT; Division of Cardiothoracic Imaging, Department of Radiology, Mayo Clinic Florida, Jacksonville, FL, USA., McCann MR; Division of Cardiothoracic Imaging, Department of Radiology, Mayo Clinic Florida, Jacksonville, FL, USA., Barry T; Department of Cardiovascular Medicine, Mayo Clinic Arizona, Phoenix, AZ, USA., Appleton CP; Department of Cardiovascular Medicine, Mayo Clinic Arizona, Phoenix, AZ, USA., Helgeson SA; Division of Pulmonary Medicine, Department of Medicine, Mayo Clinic Florida, Jacksonville, FL, USA., Erdal BS; Division of Augmented Intelligence in Imaging, Mayo Clinic Florida, Jacksonville, FL, USA.
Source: Scientific reports [Sci Rep] 2025 Oct 31; Vol. 15 (1), pp. 38181. Date of Electronic Publication: 2025 Oct 31.
Publication Type: Journal Article
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:2045-2322
DOI:10.1038/s41598-025-22026-x