Prospective effects of an artificial intelligence-based computer-aided detection system for prostate imaging on routine workflow and radiologists' outcomes.

Journal: European journal of radiology
PMID:

Abstract

OBJECTIVES: Artificial intelligence (AI) is expected to alleviate the negative consequences of rising case numbers for radiologists. Currently, systematic evaluations of the impact of AI solutions in real-world radiological practice are missing. Our study addresses this gap by investigating the impact of the clinical implementation of an AI-based computer-aided detection system (CAD) for prostate MRI reading on clinicians' workflow, workflow throughput times, workload, and stress.

Authors

  • Katharina Wenderott
    Institute for Patient Safety, University Hospital Bonn, Germany. Electronic address: katharina.wenderott@ukbonn.de.
  • Jim Krups
    Institute for Patient Safety, University Hospital Bonn, Germany.
  • Julian A Luetkens
    Department of Radiology, University Hospital Bonn, Sigmund-Freud-Str. 25, 53127, Bonn, Germany.
  • Nikoloz Gambashidze
    Institute for Patient Safety, University Hospital Bonn, Germany.
  • Matthias Weigl
    Institute for Patient Safety, University Hospital Bonn, Germany.