Mitigating Bias in Sepsis Risk Prediction Models: Insights from a Stakeholder-Based Ethical Assessment

The American Journal of Bioethics 2026

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Authors: Abdoul Jalil Djiberou Mahamadou, Artem A. Trotsyuk, Norman Lance Downing, Danton S. Char, Michelle M. Mello
DOI: 10.1080/15265161.2025.2608630
Cited by: 0
References: 8

Abstract

As part of the AI governance framework Fair, Useful, and Reliable AI Models (FURM) (Callahan et al. 2024) at Stanford Health Care (SHC), we conduct ethical evaluations of AI tools proposed for use ...

Fields of Study & Subjects

Ethics and Social Impacts of AI Artificial Intelligence in Healthcare and Education Machine Learning in Healthcare

Publication details

Journal / source
The American Journal of Bioethics
Volume
26
Issue
2
Pages
124–126
Publication date
1 February 2026
Language
EN