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Improving the radiologist-CAD interaction: designing for appropriate trust

Jorritsma, W., Cnossen, F. & van Ooijen, P. M. A., Feb-2015, In : Clinical radiology. 70, 2, p. 115-122 8 p.

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  • Improving the radiologisteCAD interaction

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DOI

Computer-aided diagnosis (CAD) has great potential to improve radiologists' diagnostic performance. However, the reported performance of the radiologist-CAD team is lower than what might be expected based on the performance of the radiologist and the CAD system in isolation. This indicates that the interaction between radiologists and the CAD system is not optimal. An important factor in the interaction between humans and automated aids (such as CAD) is trust. Suboptimal performance of the human automation team is often caused by an inappropriate level of trust in the automation. In this review, we examine the role of trust in the radiologist-CAD interaction and suggest ways to improve the output of the CAD system so that it allows radiologists to calibrate their trust in the CAD system more effectively. Observer studies of the CAD systems show that radiologists often have an inappropriate level of trust in the CAD system. They sometimes under-trust CAD, thereby reducing its potential benefits, and sometimes over-trust it, leading to diagnostic errors they would not have made without CAD. Based on the literature on trust in human automation interaction and the results of CAD observer studies, we have identified four ways to improve the output of CAD so that it allows radiologists to form a more appropriate level of trust in CAD. Designing CAD systems for appropriate trust is important and can improve the performance of the radiologist-CAD team. Future CAD research and development should acknowledge the importance of the radiologist-CAD interaction, and specifically the role of trust therein, in order to create the perfect artificial partner for the radiologist. This review focuses on the role of trust in the radiologist-CAD interaction. The aim of the review is to encourage CAD developers to design for appropriate trust and thereby improve the performance of the radiologist-CAD team. (C) 2014 The Royal College of Radiologists. Published by Elsevier Ltd. All rights reserved.

Original languageEnglish
Pages (from-to)115-122
Number of pages8
JournalClinical radiology
Volume70
Issue number2
Publication statusPublished - Feb-2015

    Keywords

  • COMPUTER-AIDED DETECTION, DETECTION CUEING ENVIRONMENTS, HIGH-RESOLUTION CT, PULMONARY NODULES, CHEST RADIOGRAPHS, DECISION AIDS, LUNG NODULES, MAMMOGRAPHIC MASSES, DETECTION SYSTEM, BREAST MASSES

ID: 21060248