Diagnostic Performance of Artificial Intelligence in Chest Radiographs Referred from the Emergency Department

Diagnostic Performance of Artificial Intelligence in Chest Radiographs Referred from the Emergency Department

Background: The increasing integration of AI in chest X-ray evaluation holds promise for enhancing diagnostic accuracy and optimizing clinical workflows. However, understanding its performance in real-world clinical settings is essential. Objectives: In this study, we evaluated the sensitivity (Se)...

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Bibliographic Details
Main Authors: Julia López Alcolea, Ana Fernández Alfonso, Raquel Cano Alonso, Ana Álvarez Vázquez, Alejandro Díaz Moreno, David García Castellanos, Lucía Sanabria Greciano, Chawar Hayoun, Manuel Recio Rodríguez, Cristina Andreu Vázquez, Israel John Thuissard Vasallo, Vicente Martínez de Vega
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Diagnostics
Subjects:
artificial intelligence
radiography
X-ray
chest
emergency
digital radiography
Online Access:https://www.mdpi.com/2075-4418/14/22/2592
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