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Ten conditions where lung ultrasonography may fail: limits, pitfalls and lessons learned from a computer-aided algorithmic approach

Academic Article
Publication Date:
2022
abstract:
: Lung ultrasonography provides relevant information on morphological and functional changes occurring in the lungs. However, it correlates weakly with pulmonary congestion and extra vascular lung water. Moreover, there is lack of consensus on scoring systems and acquisition protocols. The automation of this technique may provide promising easy-to-use clinical tools to reduce inter- and intra-observer variability and to standardize scores, allowing faster data collection without increased costs and patients risks.
Iris type:
1.1 Articolo in rivista
Keywords:
Humans; Observer Variation; Reproducibility of Results; Ultrasonography; Computers; Lung
List of contributors:
Corradi, Francesco; Vetrugno, Luigi; Isirdi, Alessandro; Bignami, Elena; Boccacci, Patrizia; Forfori, Francesco
Authors of the University:
VETRUGNO Luigi
Handle:
https://ricerca.unich.it/handle/11564/775186
Published in:
MINERVA ANESTESIOLOGICA
Journal
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URL

https://www.minervamedica.it/it/riviste/minerva-anestesiologica/articolo.php?cod=R02Y2022N04A0308
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