Using Artificial Intelligence to Establish Chest X-Ray Image Recognition Model to Assist Crucial Diagnosis in Elder Patients With Dyspnea

Using Artificial Intelligence to Establish Chest X-Ray Image Recognition Model to Assist Crucial Diagnosis in Elder Patients With Dyspnea

Pneumonia and pulmonary edema are the most common causes of acute respiratory failure in emergency and intensive care. Airway maintenance and heart function preservation are two foundations for resuscitation. Laboratory examinations have been utilized for clinicians to early differentiate pneumonia...

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Bibliographic Details
Main Authors: Liu Liong-Rung, Chiu Hung-Wen, Huang Ming-Yuan, Huang Shu-Tien, Tsai Ming-Feng, Chang Chia-Yu, Chang Kuo-Song
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-06-01
Series:Frontiers in Medicine
Subjects:
computer-aided detection (CAD)
artificial intelligence
geriatrics medicine
critical care medicine
chest X-ray (CXR)
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2022.893208/full

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