Clinically focused multi-cohort benchmarking as a tool for external validation of artificial intelligence algorithm performance in basic chest radiography analysis

Clinically focused multi-cohort benchmarking as a tool for external validation of artificial intelligence algorithm performance in basic chest radiography analysis

Abstract 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 po...

Full description

Bibliographic Details
Main Authors: Jan Rudolph, Balthasar Schachtner, Nicola Fink, Vanessa Koliogiannis, Vincent Schwarze, Sophia Goller, Lena Trappmann, Boj F. Hoppe, Nabeel Mansour, Maximilian Fischer, Najib Ben Khaled, Maximilian Jörgens, Julien Dinkel, Wolfgang G. Kunz, Jens Ricke, Michael Ingrisch, Bastian O. Sabel, Johannes Rueckel
Format: Article
Language:English
Published: Nature Portfolio 2022-07-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-022-16514-7

Internet

https://doi.org/10.1038/s41598-022-16514-7

Similar Items