Validating a novel measure for assessing patient openness and concerns about using artificial intelligence in healthcare

Authors

Bryan A Sisk, Washington University School of Medicine in St. Louis
Alison L Antes, Washington University School of Medicine in St. Louis
Sunny C Lin, Washington University School of Medicine in St. Louis
Paige Nong, University of Minnesota
James M DuBois, Washington University School of Medicine in St. Louis

Journal

Learning Health Systems

Publication Date

1-1-2025

Volume

9

Issue

1

First Page

e10429

Document Type

Open Access Publication

DOI

10.1002/lrh2.10429

Rights and Permissions

Sisk BA, Antes AL, Lin SC, Nong P, DuBois JM. Validating a novel measure for assessing patient openness and concerns about using artificial intelligence in healthcare. Learn Health Sys. 2025; 9(1):e10429. doi:10.1002/lrh2.10429 © 2024 The Authors. Learning Health Systems published by Wiley Periodicals LLC on behalf of University of Michigan. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.

Recommended Citation

Sisk, Bryan A; Antes, Alison L; Lin, Sunny C; Nong, Paige; and DuBois, James M, "Validating a novel measure for assessing patient openness and concerns about using artificial intelligence in healthcare." Learning Health Systems. 9, 1. e10429 (2025).
https://digitalcommons.wustl.edu/oa_4/5989

Department

ICTS (Institute of Clinical and Translational Sciences)

Additional Links

Supplemental material is available for this article at publisher site.