Automatically Scoring Lung Ultrasound Videos of COVID-19 and post-COVID-19 Patients
2022 IEEE International Ultrasonics Symposium, IUS 2022
; 2022-October, 2022.
Article
in English
| Scopus | ID: covidwho-2191974
ABSTRACT
Lung ultrasound (LUS) imaging is playing an important role in the current pandemic, allowing the evaluation of patients affected by COVID-19 pneumonia. However, LUS is limited to the visual inspection of ultrasound data, which negatively affects the reproducibility and reliability of the findings. For these reasons, we were the first to propose a standardized imaging protocol and a scoring system, from which we developed the first artificial intelligence (AI) models able to evaluate LUS videos. Furthermore, we demonstrated prognostic value of our approach and its utility for patients' stratification. In this study, we report on the level of agreement between AI and LUS clinical experts (MD) on LUS data acquired from both COVID-19 patients and post-COVID-19 patients. © 2022 IEEE.
Full text:
Available
Collection:
Databases of international organizations
Database:
Scopus
Type of study:
Prognostic study
Topics:
Long Covid
Language:
English
Journal:
2022 IEEE International Ultrasonics Symposium, IUS 2022
Year:
2022
Document Type:
Article
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