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Published on in Vol 3 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/52211, first published .
Medical monitor displaying lung CT scan with patient data and medical charts.

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

Journals

  1. Chen H, Alfred M, Brown A, Atinga A, Cohen E. Intersection of Performance, Interpretability, and Fairness in Neural Prototype Tree for Chest X-Ray Pathology Detection: Algorithm Development and Validation Study. JMIR Formative Research 2024;8:e59045 View
  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
  4. Xie L, Guo T, Yang Y, Yu L, Chen Y, Peng X, Zheng Z, Tu H. Trust in artificial intelligence-based follow-up in hospital information systems: development and validation of a new scale. BMC Psychology 2025;14(1) View
  5. Shonhe L. Modelling the Antecedents of Perceived Trust in AI-Based Records and Information Management Systems. Mousaion: South African Journal of Information Studies 2026;43(4) View

Conference Proceedings

  1. Sanchez T, Vereschak O, Deroy O. Proceedings of the 31st International Conference on Intelligent User Interfaces. Mental Models in Human-AI Interaction: Systematic Review of Empirical Methodologies and Guidelines View