Breaking the Bias: A Fair Assessment of AI and Radiologists for Workflow Optimization and Collaborative Reporting
Author:
Affiliation:
1. Department of Clinical Radiology, Aberdeen Royal Infirmary, Foresterhill Rd, Aberdeen AB25 2ZN, Scotland
Publisher
Radiological Society of North America (RSNA)
Link
http://pubs.rsna.org/doi/pdf/10.1148/radiol.232872
Reference8 articles.
1. Commercially Available Chest Radiograph AI Tools for Detecting Airspace Disease, Pneumothorax, and Pleural Effusion
2. Comparing new radiographs with those obtained previously.
3. Comparison of Chest Radiograph Interpretations by Artificial Intelligence Algorithm vs Radiology Residents
4. Automated Triaging of Adult Chest Radiographs with Deep Artificial Neural Networks
5. Automated abnormality classification of chest radiographs using deep convolutional neural networks
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