COVID-19 pathways for brain and heart injury in comorbidity patients: A role of medical imaging and artificial intelligence-based COVID severity classification: A review

Artificial intelligence (AI) has penetrated the field of medicine, particularly the field of radiology. Since its emergence, the highly virulent coronavirus disease 2019 (COVID-19) has infected over 10 million people, leading to over 500,000 deaths as of July 1st, 2020. Since the outbreak began, alm...

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Autores:

Tipo de recurso:

Article of investigation

Fecha de publicación:

2020

Institución:

Universidad de Bogotá Jorge Tadeo Lozano

Repositorio:

Expeditio: repositorio UTadeo

Idioma:

eng

OAI Identifier:

oai:expeditiorepositorio.utadeo.edu.co:20.500.12010/12543

Acceso en línea:

https://doi.org/10.1016/j.compbiomed.2020.103960
http://hdl.handle.net/20.500.12010/12543

Palabra clave:

COVID-19
Comorbidity
Pathophysiology
Heart
Brain
Lung
Imaging
Artificial intelligence
Risk assessment
Síndrome respiratorio agudo grave
COVID-19
SARS-CoV-2
Coronavirus

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