From Mitigation to Flourishing: We Must Harness Emerging Technologies to Improve Health of the Most Vulnerable

The American Journal of Bioethics 2026

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Authors: Charles E. Binkley, Natalia S. Dellavalle, Elizabeth J. Chuang
DOI: 10.1080/15265161.2025.2608644
Cited by: 0
References: 10

Abstract

Banja et al. (2026) provide a comprehensive discussion of the various types of biases in machine learning algorithms, their sources, and potential methods to mitigate these biases. They rightfully ...

Fields of Study & Subjects

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

Publication details

Journal / source
The American Journal of Bioethics
Volume
26
Issue
2
Pages
127–129
Publication date
1 February 2026
Language
EN