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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書誌詳細

主要な著者:	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
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2021-04-01
シリーズ:	Diagnostics
主題:	pulmonary hypertension PH-Lung disease quantitative CT hypoxia artificial intelligence machine learning
オンライン･アクセス:	https://www.mdpi.com/2075-4418/11/4/679
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