Thoracic Point-of-Care Ultrasound: A SARS-CoV-2 Data Repository for Future Artificial Intelligence and Machine Learning.
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.
Keywords
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
Ultrasonography
/
Point-of-Care Systems
/
Machine Learning
/
COVID-19
Type of study:
Prognostic study
Limits:
Aged
/
Female
/
Humans
/
Male
/
Middle aged
Language:
English
Journal:
Surg Innov
Year:
2021
Document Type:
Article
Affiliation country:
15533506211018671
Similar
MEDLINE
...
LILACS
LIS