Can an accurate model be bad?
Outcome-prediction models can harm patients even when they have good accuracy, as shown in a recent <i>Patterns</i> paper by Van Amsterdam et al. In this preview, we consider the ethical and empirical implications of this work by highlighting the impact of reifying self-fulfilling prophecies and propose a reorientation toward actions over accuracy as a priority for AI integration.
Authors
- Melissa D. McCradden (ORCID: https://orcid.org/0000-0002-6476-2165)
- Lauren Oakden‐Rayner (ORCID: https://orcid.org/0000-0001-5471-5202)
- Mjaye Mazwi (ORCID: https://orcid.org/0000-0003-1345-5429)
Institutions
- Seattle Children's Hospital (US)
- University of Washington (US)
- Women's and Children's Health Network (AU)
- Australian Centre for Robotic Vision (AU)
- SickKids Foundation (CA)
Publication Details
- Journal
- Patterns
- Published
- 2025-04-01
- DOI
- https://doi.org/10.1016/j.patter.2025.101205
- Citations
- 2
- Primary Topic
- Congenital Heart Disease Studies
- Type
- article
- Field-Weighted Citation Impact
- 2.71
Funders
- Hospital Research Foundation