Evaluation of the Performance of an Artificial Intelligence (AI) Algorithm in Detecting Thoracic Pathologies on Chest Radiographs

Evaluation of the Performance of an Artificial Intelligence (AI) Algorithm in Detecting Thoracic Pathologies on Chest Radiographs

The purpose of the study was to assess the performance of readers in diagnosing thoracic anomalies on standard chest radiographs (CXRs) with and without a deep-learning-based AI tool (Rayvolve) and to evaluate the standalone performance of Rayvolve in detecting thoracic pathologies on CXRs. This ret...

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Detalhes bibliográficos
Main Authors: Hubert Bettinger, Gregory Lenczner, Jean Guigui, Luc Rotenberg, Elie Zerbib, Alexandre Attia, Julien Vidal, Pauline Beaumel
Formato: Artigo
Idioma:English
Publicado em: MDPI AG 2024-06-01
Colecção:Diagnostics
Assuntos:
artificial intelligence
chest
deep learning
nodules
rayvolve
thorax
Acesso em linha:https://www.mdpi.com/2075-4418/14/11/1183

Internet

https://www.mdpi.com/2075-4418/14/11/1183

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