Evaluation of an AI-Based Detection Software for Acute Findings in Abdominal Computed Tomography Scans: Toward an Automated Work List Prioritization of Routine CT Examinations.

Journal: Investigative radiology

Published Date: Jan 1, 2019

Abstract

OBJECTIVE: The aim of this study was to test the diagnostic performance of a deep learning-based triage system for the detection of acute findings in abdominal computed tomography (CT) examinations.

Authors

David J Winkel

From the Department of Radiology, University Hospital Basel, Basel, Switzerland.
Tobias Heye
Thomas J Weikert
Daniel T Boll
Bram Stieltjes

University of Basel, University Hospital Basel, Radiology and Nuclear Medicine Clinic, Basel, Switzerland.

Keywords

Algorithms Artificial Intelligence Humans Radiographic Image Interpretation, Computer-Assisted Radiography, Abdominal Radiology Information Systems Sensitivity and Specificity Tomography, X-Ray Computed

External Resources

View on PubMed Access via DOI PubMed (30199417)

Evaluation of an AI-Based Detection Software for Acute Findings in Abdominal Computed Tomography Scans: Toward an Automated Work List Prioritization of Routine CT Examinations.

Abstract

Authors

Keywords

External Resources

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