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Comparison of the Diagnostic Performance of Deep Learning Algorithms for Reducing the Time Required for COVID-19 RT–PCR Testing
(1) Background: Rapid and accurate negative discrimination enables efficient management of scarce isolated bed resources and adequate patient accommodation in the majority of areas experiencing an explosion of confirmed cases due to Omicron mutations. Until now, methods for artificial intelligence o...
Autores principales: | Lee, Yoonje, Kim, Yu-Seop, Lee, Da In, Jeong, Seri, Kang, Gu Hyun, Jang, Yong Soo, Kim, Wonhee, Choi, Hyun Young, Kim, Jae Guk |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9966023/ https://www.ncbi.nlm.nih.gov/pubmed/36851519 http://dx.doi.org/10.3390/v15020304 |
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