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Published 07 Nov 2022

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

Author: Arunkumar Govindarajan, Aarthi Govindarajan, Swetha Tanamala, Subhankar Chattoraj, Bhargava Reddy, Rohitashva Agrawal, Divya Iyer, Anumeha Srivastava, Pradeep Kumar, Preetham Putha

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AUC for blunted CP angle (0.97), hilar dysmorphism (0.86), cardiomegaly (0.96), reticulonodular pattern (0.91), rib fracture (0.98), scoliosis (0.98), atelectasis (0.96), calcification (0.96), consolidation (0.95), emphysema (0.96), fibrosis (0.95), nodule (0.91), opacity (0.92), pleural effusion (0.97), and pneumothorax (0.99). TAT decreased by about 40.63% from pre-qXR period to post-qXR period.

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Arunkumar Govindarajan, Aarthi Govindarajan, Swetha Tanamala, Subhankar Chattoraj, Bhargava Reddy, Rohitashva Agrawal, Divya Iyer, Anumeha Srivastava, Pradeep Kumar, Preetham Putha

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