Cargando…
Commercial AI solutions in detecting COVID-19 pneumonia in chest CT: not yet ready for clinical implementation?
OBJECTIVES: In response to the COVID-19 pandemic, many researchers have developed artificial intelligence (AI) tools to differentiate COVID-19 pneumonia from other conditions in chest CT. However, in many cases, performance has not been clinically validated. The aim of this study was to evaluate the...
Autores principales: | Jungmann, Florian, Müller, Lukas, Hahn, Felix, Weustenfeld, Maximilian, Dapper, Ann-Kathrin, Mähringer-Kunz, Aline, Graafen, Dirk, Düber, Christoph, Schafigh, Darius, Pinto dos Santos , Daniel, Mildenberger, Peter, Kloeckner, Roman |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8700707/ https://www.ncbi.nlm.nih.gov/pubmed/34950973 http://dx.doi.org/10.1007/s00330-021-08409-4 |
Ejemplares similares
-
Implementation of eHealth and AI integrated diagnostics with multidisciplinary digitized data: are we ready from an international perspective?
por: Bukowski, Mark, et al.
Publicado: (2020) -
To buy or not to buy—evaluating commercial AI solutions in radiology (the ECLAIR guidelines)
por: Omoumi, Patrick, et al.
Publicado: (2021) -
Initial chest radiographs and artificial intelligence (AI) predict clinical outcomes in COVID-19 patients: analysis of 697 Italian patients
por: Mushtaq, Junaid, et al.
Publicado: (2020) -
Is the generalizability of a developed artificial intelligence algorithm for COVID-19 on chest CT sufficient for clinical use? Results from the International Consortium for COVID-19 Imaging AI (ICOVAI)
por: Topff, Laurens, et al.
Publicado: (2023) -
Radiologists in the loop: the roles of radiologists in the development of AI applications
por: Scheek, Damian, et al.
Publicado: (2021)