Clinical experience and perception of risk affect the acceptance and trust of using AI in medicine
More experienced clinicians were more likely to embrace AI compared to their junior counterparts, particularly when they perceived the risk as low.
Authors
- Joseph J.�Y. Sung (ORCID: https://orcid.org/0000-0003-3125-5199)
- Wilson Wen Bin Goh (ORCID: https://orcid.org/0000-0003-3863-7501)
- Max F. K. Cheung (ORCID: https://orcid.org/0000-0003-1968-5647)
- Peter J. Schulz (ORCID: https://orcid.org/0000-0003-4281-489X)
- May O. Lwin (ORCID: https://orcid.org/0000-0003-1832-8242)
- Thomas Yuen Tung Lam (ORCID: https://orcid.org/0000-0002-4306-4990)
- Kalya M. Kee (ORCID: https://orcid.org/0000-0001-9454-1534)
- Kendrick Y.A. Chia (ORCID: https://orcid.org/0009-0002-4005-7899)
Institutions
- Nanyang Technological University (SG)
- Chinese University of Hong Kong (HK)
Publication Details
- Journal
- Frontiers in Digital Health
- Published
- 2025-09-02
- DOI
- https://doi.org/10.3389/fdgth.2025.1620127
- Citations
- 2
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 1.31
Funders
- National Research Foundation
- National Research Foundation Singapore