This paper is in the following e-collection/theme issue:

Applications of AI (272) Artificial Intelligence (2064) AI Data (19)

Published on in Vol 3 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/52211, first published .
The Impact of Expectation Management and Model Transparency on Radiologists’ Trust and Utilization of AI Recommendations for Lung Nodule Assessment on Computed Tomography: Simulated Use Study

The Impact of Expectation Management and Model Transparency on Radiologists’ Trust and Utilization of AI Recommendations for Lung Nodule Assessment on Computed Tomography: Simulated Use Study

The Impact of Expectation Management and Model Transparency on Radiologists’ Trust and Utilization of AI Recommendations for Lung Nodule Assessment on Computed Tomography: Simulated Use Study

Authors of this article:

Lotte J S Ewals1 Author Orcid Image ;   Lynn J J Heesterbeek2 Author Orcid Image ;   Bin Yu3 Author Orcid Image ;   Kasper van der Wulp1 Author Orcid Image ;   Dimitrios Mavroeidis4 Author Orcid Image ;   Mathias Funk5 Author Orcid Image ;   Chris C P Snijders6 Author Orcid Image ;   Igor Jacobs7 Author Orcid Image ;   Joost Nederend1 Author Orcid Image ;   Jon R Pluyter2 Author Orcid Image ;   e/MTIC Oncology group8
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  2. Bauer J, Michalowski M. Human-centered explainability evaluation in clinical decision-making: a critical review of the literature. Journal of the American Medical Informatics Association 2025;32(9):1477 View
  3. Mastrianni A, Kmetz-Cutrone P, Chang K, Stein J, Sarcevic A. Beyond Decision Making: Considering Collaboration and Agency in the Design of AI-Based Decision-Support Systems for Fast-Response Medical Teams. Proceedings of the ACM on Human-Computer Interaction 2025;9(7):1 View