Machine Learning Takes Laboratory Automation to the Next Level.
J Clin Microbiol
; 58(4)2020 03 25.
Article
em En
| MEDLINE
| ID: mdl-32024725
ABSTRACT
Clinical microbiology laboratories face challenges with workload and understaffing that other clinical laboratory sections have addressed with automation. In this issue of the Journal of Clinical Microbiology, M. L. Faron, B. W. Buchan, R. F. Relich, J. Clark, and N. A. Ledeboer (J Clin Microbiol 58e01683-19, 2020, https//doi.org/10.1128/JCM.01683-19) evaluate the performance of automated image analysis software to screen urine cultures for further workup according to their total number of CFU. Urine cultures are the highest volume specimen type for most laboratories, so this software has the potential for tremendous gains in laboratory efficiency and quality due to the consistency of colony quantification.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Automação Laboratorial
/
Serviços de Laboratório Clínico
Idioma:
En
Revista:
J Clin Microbiol
Ano de publicação:
2020
Tipo de documento:
Article
País de afiliação:
Estados Unidos