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Surg Innov ; 28(2): 214-219, 2021 Apr.
Article in English | MEDLINE | ID: covidwho-1219686

ABSTRACT

Current experience suggests that artificial intelligence (AI) and machine learning (ML) may be useful in the management of hospitalized patients, including those with COVID-19. In light of the challenges faced with diagnostic and prognostic indicators in SARS-CoV-2 infection, our center has developed an international clinical protocol to collect standardized thoracic point of care ultrasound data in these patients for later AI/ML modeling. We surmise that in the future AI/ML may assist in the management of SARS-CoV-2 patients potentially leading to improved outcomes, and to that end, a corpus of curated ultrasound images and linked patient clinical metadata is an invaluable research resource.


Subject(s)
COVID-19/diagnostic imaging , Machine Learning , Point-of-Care Systems , Ultrasonography/methods , Aged , Aged, 80 and over , Artificial Intelligence , Biomedical Engineering , Female , Humans , Lung/diagnostic imaging , Male , Middle Aged , SARS-CoV-2
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