Radiologists in the loop: the roles of radiologists in the development of AI applications

Damian Scheek, Mohammad H. Rezazade Mehrizi*, Erik Ranschaert

*Corresponding author for this work

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

Objectives
To examine the various roles of radiologists in different steps of developing artificial intelligence (AI) applications.

Materials and methods
Through the case study of eight companies active in developing AI applications for radiology, in different regions (Europe, Asia, and North America), we conducted 17 semi-structured interviews and collected data from documents. Based on systematic thematic analysis, we identified various roles of radiologists. We describe how each role happens across the companies and what factors impact how and when these roles emerge.

Results
We identified 9 roles that radiologists play in different steps of developing AI applications: (1) problem finder (in 4 companies); (2) problem shaper (in 3 companies); (3) problem dominator (in 1 company); (4) data researcher (in 2 companies); (5) data labeler (in 3 companies); (6) data quality controller (in 2 companies); (7) algorithm shaper (in 3 companies); (8) algorithm tester (in 6 companies); and (9) AI researcher (in 1 company).

Conclusions
Radiologists can play a wide range of roles in the development of AI applications. How actively they are engaged and the way they are interacting with the development teams significantly vary across the cases. Radiologists need to become proactive in engaging in the development process and embrace new roles.
Original languageEnglish
Pages (from-to)7960-7968
Number of pages9
JournalEuropean Radiology
Volume31
Issue number10
Early online date16 Apr 2021
DOIs
Publication statusPublished - Oct 2021

Bibliographical note

Publisher Copyright:
© 2021, The Author(s).

Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.

Keywords

  • AI
  • Artificial intelligence
  • Development
  • Radiologists
  • Roles

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