Role of an Automated Deep Learning Algorithm for Reliable Screening of Abnormality in Chest Radiographs: A Prospective Multicenter Quality Improvement Study

Role of an Automated Deep Learning Algorithm for Reliable Screening of Abnormality in Chest Radiographs: A Prospective Multicenter Quality Improvement Study

In medical practice, chest X-rays are the most ubiquitous diagnostic imaging tests. However, the current workload in extensive health care facilities and lack of well-trained radiologists is a significant challenge in the patient care pathway. Therefore, an accurate, reliable, and fast computer-aide...

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Bibliographic Details
Main Authors: Arunkumar Govindarajan, Aarthi Govindarajan, Swetha Tanamala, Subhankar Chattoraj, Bhargava Reddy, Rohitashva Agrawal, Divya Iyer, Anumeha Srivastava, Pradeep Kumar, Preetham Putha
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Diagnostics
Subjects:
chest X-rays
deep learning
qXR
computer aided diagnostic
neural network
multicenter prospective study
Online Access:https://www.mdpi.com/2075-4418/12/11/2724

Internet

https://www.mdpi.com/2075-4418/12/11/2724

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