Clinical Validation of a Deep Learning Algorithm for Detection of Pneumonia on Chest Radiographs in Emergency Department Patients with Acute Febrile Respiratory Illness

Clinical Validation of a Deep Learning Algorithm for Detection of Pneumonia on Chest Radiographs in Emergency Department Patients with Acute Febrile Respiratory Illness

Early identification of pneumonia is essential in patients with acute febrile respiratory illness (FRI). We evaluated the performance and added value of a commercial deep learning (DL) algorithm in detecting pneumonia on chest radiographs (CRs) of patients visiting the emergency department (ED) with...

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Bibliographic Details
Main Authors: Jae Hyun Kim, Jin Young Kim, Gun Ha Kim, Donghoon Kang, In Jung Kim, Jeongkuk Seo, Jason R. Andrews, Chang Min Park
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Journal of Clinical Medicine
Subjects:
acute febrile respiratory illness
emergency department
chest radiograph
artificial intelligence
deep learning algorithm
Online Access:https://www.mdpi.com/2077-0383/9/6/1981

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https://www.mdpi.com/2077-0383/9/6/1981

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