In:
The British Journal of Radiology, British Institute of Radiology, Vol. 95, No. 1132 ( 2022-04-01)
Abstract:
Artificial intelligence (AI) is transforming the way we perform advanced imaging. From high-resolution image reconstruction to predicting functional response from clinically acquired data, AI is promising to revolutionize clinical evaluation of lung performance, pushing the boundary in pulmonary functional imaging for patients suffering from respiratory conditions. In this review, we overview the current developments and expound on some of the encouraging new frontiers. We focus on the recent advances in machine learning and deep learning that enable reconstructing images, quantitating, and predicting functional responses of the lung. Finally, we shed light on the potential opportunities and challenges ahead in adopting AI for functional lung imaging in clinical settings.
Type of Medium:
Online Resource
ISSN:
0007-1285
,
1748-880X
DOI:
10.1259/bjr.20210527
Language:
English
Publisher:
British Institute of Radiology
Publication Date:
2022
detail.hit.zdb_id:
1468548-6
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