Cargando…
Pulmonary Hypertension in Association with Lung Disease: Quantitative CT and Artificial Intelligence to the Rescue? State-of-the-Art Review
Accurate phenotyping of patients with pulmonary hypertension (PH) is an integral part of informing disease classification, treatment, and prognosis. The impact of lung disease on PH outcomes and response to treatment remains a challenging area with limited progress. Imaging with computed tomography...
Autores principales: | Dwivedi, Krit, Sharkey, Michael, Condliffe, Robin, Uthoff, Johanna M., Alabed, Samer, Metherall, Peter, Lu, Haiping, Wild, Jim M., Hoffman, Eric A., Swift, Andrew J., Kiely, David G. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8070579/ https://www.ncbi.nlm.nih.gov/pubmed/33918838 http://dx.doi.org/10.3390/diagnostics11040679 |
Ejemplares similares
-
A transparent artificial intelligence framework to assess lung disease in pulmonary hypertension
por: Mamalakis, Michail, et al.
Publicado: (2023) -
Training and clinical testing of artificial intelligence derived right atrial cardiovascular magnetic resonance measurements
por: Alandejani, Faisal, et al.
Publicado: (2022) -
Computed tomography lung parenchymal descriptions in routine radiological reporting have diagnostic and prognostic utility in patients with idiopathic pulmonary arterial hypertension and pulmonary hypertension associated with lung disease
por: Dwivedi, Krit, et al.
Publicado: (2022) -
A machine learning cardiac magnetic resonance approach to extract disease features and automate pulmonary arterial hypertension diagnosis
por: Swift, Andrew J, et al.
Publicado: (2020) -
Validation of Artificial Intelligence Cardiac MRI Measurements:
Relationship to Heart Catheterization and Mortality Prediction
por: Alabed, Samer, et al.
Publicado: (2022)