MultiCOVID: a multi modal deep learning approach for COVID-19 diagnosis

Max Hardy-Werbin; José María Maiques; Marcos Busto; Isabel Cirera; Alfons Aguirre; Nieves García-Gisbert; Flavio Zuccarino; Santiago Carbullanca; Luis Alexander Del Carpio; Didac Ramal; Ángel Gayete; Jordi Martínez-Roldán; Albert Marquez-Colome; Beatríz Bellosillo; Joan Gibert

doi:10.1038/s41598-023-46126-8

JOURNAL ARTICLE

MultiCOVID: a multi modal deep learning approach for COVID-19 diagnosis

Max Hardy-Werbin José María Maiques Marcos Busto Isabel Cirera Alfons Aguirre Nieves García-Gisbert Flavio Zuccarino Santiago Carbullanca Luis Alexander Del Carpio Didac Ramal Ángel Gayete Jordi Martínez-Roldán Albert Marquez-Colome Beatríz Bellosillo Joan Gibert

Year: 2023 Journal: Scientific Reports Vol: 13 (1)Pages: 18761-18761 Publisher: Nature Portfolio

DOI: 10.1038/s41598-023-46126-8

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Keywords:

McNemar's test Medicine Pneumonia Coronavirus disease 2019 (COVID-19) Retrospective cohort study Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Test (biology) Blood test Internal medicine Disease Statistics Mathematics

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COVID-19 diagnosis using AI

Health Sciences → Medicine → Radiology, Nuclear Medicine and Imaging

COVID-19 Clinical Research Studies

Health Sciences → Medicine → Infectious Diseases

Radiomics and Machine Learning in Medical Imaging

Health Sciences → Medicine → Radiology, Nuclear Medicine and Imaging

MultiCOVID: a multi modal deep learning approach for COVID-19 diagnosis

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