Factors influencing the effectiveness of artificial intelligence-assisted decision-making in medicine: a scoping review
Few factors have been studied for their impact on the effectiveness of AI-CDS. Due to conflicting outcomes between studies, we recommend future work should leverage the concept of "appropriate trust" to facilitate more robust research on AI-CDS, aiming not to increase overall trust in or acceptance of AI but to ensure that clinicians accept AI recommendations only when trust in AI is warranted.
Authors
- Miller Rn
- Laurie Lovett Novak (ORCID: https://orcid.org/0000-0002-0415-4301)
- Katherine Elizabeth Brown (ORCID: https://orcid.org/0000-0003-4443-8541)
- Matthew Murrow
- Jessica S Ancker
- Benjamin X Collins
- Nicholas J Jackson
- Natalie C Benda
Institutions
- City University of New York (US)
- Vanderbilt University (US)
- Columbia University (US)
- Vanderbilt University Medical Center (US)
Publication Details
- Journal
- Journal of the American Medical Informatics Association
- Published
- 2026-01-08
- DOI
- https://doi.org/10.1093/jamia/ocag002
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00