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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Hlavní autoři:	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
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2021-04-01
Edice:	Diagnostics
Témata:	pulmonary hypertension PH-Lung disease quantitative CT hypoxia artificial intelligence machine learning
On-line přístup:	https://www.mdpi.com/2075-4418/11/4/679
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