Should Artificial Intelligence Tell Radiologists Which Study to Read Next?
Author:
Affiliation:
1. From the Departments of Radiology (S.D.O., M.B.) and Surgery (S.D.O.), Medical College of Wisconsin, 9200 W Wisconsin Ave, Milwaukee, WI 53226.
Publisher
Radiological Society of North America (RSNA)
Subject
Artificial Intelligence,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology
Link
http://pubs.rsna.org/doi/pdf/10.1148/ryai.2021210009
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1. Vital Signs: Recent Trends in Stroke Death Rates — United States, 2000–2015
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3. Impact of a Reading Priority Scoring System on the Prioritization of Examination Interpretations
4. Advanced machine learning in action: identification of intracranial hemorrhage on computed tomography scans of the head with clinical workflow integration
5. Active Reprioritization of the Reading Worklist Using Artificial Intelligence Has a Beneficial Effect on the Turnaround Time for Interpretation of Head CT with Intracranial Hemorrhage
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