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Clinically focused multi-cohort benchmarking as a tool for external validation of artificial intelligence algorithm performance in basic chest radiography analysis
Artificial intelligence (AI) algorithms evaluating [supine] chest radiographs ([S]CXRs) have remarkably increased in number recently. Since training and validation are often performed on subsets of the same overall dataset, external validation is mandatory to reproduce results and reveal potential t...
Autores principales: | Rudolph, Jan, Schachtner, Balthasar, Fink, Nicola, Koliogiannis, Vanessa, Schwarze, Vincent, Goller, Sophia, Trappmann, Lena, Hoppe, Boj F., Mansour, Nabeel, Fischer, Maximilian, Ben Khaled, Najib, Jörgens, Maximilian, Dinkel, Julien, Kunz, Wolfgang G., Ricke, Jens, Ingrisch, Michael, Sabel, Bastian O., Rueckel, Johannes |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9329327/ https://www.ncbi.nlm.nih.gov/pubmed/35896763 http://dx.doi.org/10.1038/s41598-022-16514-7 |
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