Diagnostic test accuracy of artificial intelligence analysis of cross-sectional imaging in pulmonary hypertension: a systematic literature review

To undertake the first systematic review examining the performance of artificial intelligence (AI) applied to cross-sectional imaging for the diagnosis of acquired pulmonary arterial hypertension (PAH). Searches of Medline, Embase and Web of Science were undertaken on 1 July 2020. Original publicati...

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Veröffentlicht in:	British journal of radiology 2021-12, Vol.94 (1128), p.20210332-20210332
Hauptverfasser:	Hardacre, Conor J, Robertshaw, Joseph A, Barratt, Shaney L, Adams, Hannah L, MacKenzie Ross, Robert V, Robinson, Graham Re, Suntharalingam, Jay, Pauling, John D, Rodrigues, Jonathan Carl Luis
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial Intelligence Humans Hypertension, Pulmonary - diagnostic imaging Image Interpretation, Computer-Assisted - methods Lung - blood supply Lung - diagnostic imaging Magnetic Resonance Imaging - methods Reproducibility of Results Sensitivity and Specificity Systematic Review Tomography, X-Ray Computed - methods
Online-Zugang:	Volltext
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