Physician clinical decision modification and bias assessment in a randomized controlled trial of AI assistance
Physician clinical decision making can be augmented by AI assistance while maintaining equitable care across patient demographics. These findings suggest a path forward for AI clinical decision support that improves medical care without amplifying healthcare disparities.
Authors
- Elaine C. Khoong (ORCID: https://orcid.org/0000-0002-2514-3572)
- Bryan Bunning (ORCID: https://orcid.org/0000-0003-3092-0038)
- Jonathan H. Chen (ORCID: https://orcid.org/0000-0002-4387-8740)
- Arnold Milstein (ORCID: https://orcid.org/0000-0002-2794-2378)
- Robert J. Gallo (ORCID: https://orcid.org/0000-0002-2601-0173)
- Damon Centola (ORCID: https://orcid.org/0000-0002-8084-2333)
- Ethan Goh (ORCID: https://orcid.org/0009-0001-7491-4257)
Institutions
- VA Palo Alto Health Care System (US)
- Research for Action (US)
- Stanford Health Care (US)
- Stanford Medicine (US)
- Center for Innovation (US)
- University of Pennsylvania (US)
- Stanford University (US)
Publication Details
- Journal
- Communications Medicine
- Published
- 2025-03-04
- DOI
- https://doi.org/10.1038/s43856-025-00781-2
- Citations
- 17
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 11.12