Pulmonary Hypertension in Association with Lung Disease: Quantitative CT and Artificial Intelligence to the Rescue? State-of-the-Art Review

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...

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Bibliographic Details
Main Authors: Krit Dwivedi, Michael Sharkey, Robin Condliffe, Johanna M. Uthoff, Samer Alabed, Peter Metherall, Haiping Lu, Jim M. Wild, Eric A. Hoffman, Andrew J. Swift, David G. Kiely
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Diagnostics
Subjects:
pulmonary hypertension
PH-Lung disease
quantitative CT
hypoxia
artificial intelligence
machine learning
Online Access:https://www.mdpi.com/2075-4418/11/4/679

Internet

https://www.mdpi.com/2075-4418/11/4/679

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