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...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	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
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	MDPI AG 2021-04-01
Sarja:	Diagnostics
Aiheet:	pulmonary hypertension PH-Lung disease quantitative CT hypoxia artificial intelligence machine learning
Linkit:	https://www.mdpi.com/2075-4418/11/4/679
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