Enhancing physicians’ radiology diagnostics of COVID-19’s effects on lung health by leveraging artificial intelligence

Introduction: This study aimed to develop an individualized artificial intelligence model to help radiologists assess the severity of COVID-19’s effects on patients’ lung health. Methods: Data was collected from medical records of 1103 patients diagnosed with COVID-19 using RT- qPCR between March an...

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Detalles Bibliográficos
Autores principales: Gasulla, Óscar, Ledesma-Carbayo, Maria J., Borrell, Luisa N., Fortuny-Profitós, Jordi, Mazaira-Font, Ferran A., Barbero Allende, Jose María, Alonso-Menchén, David, García-Bennett, Josep, Del Río-Carrrero, Belen, Jofré-Grimaldo, Hector, Seguí, Aleix, Monserrat, Jorge, Teixidó-Román, Miguel, Torrent, Adrià, Ortega, Miguel Ángel, Álvarez-Mon, Melchor, Asúnsolo, Angel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Bioengineering and Biotechnology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10157246/
https://www.ncbi.nlm.nih.gov/pubmed/37152658
http://dx.doi.org/10.3389/fbioe.2023.1010679

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10157246/
https://www.ncbi.nlm.nih.gov/pubmed/37152658
http://dx.doi.org/10.3389/fbioe.2023.1010679

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