Mitigating bias in AI mortality predictions for minority populations: a transfer learning approach

Mitigating bias in AI mortality predictions for minority populations: a transfer learning approach

Abstract Background The COVID-19 pandemic has highlighted the crucial role of artificial intelligence (AI) in predicting mortality and guiding healthcare decisions. However, AI models may perpetuate or exacerbate existing health disparities due to demographic biases, particularly affecting racial an...

Full description

Saved in:
Bibliographic Details
Main Authors: Tianshu Gu, Wensen Pan, Jing Yu, Guang Ji, Xia Meng, Yongjun Wang, Minghui Li
Format: Article
Language:English
Published: BMC 2025-01-01
Series:BMC Medical Informatics and Decision Making
Subjects:
COVID-19
Artificial intelligence
Mortality prediction
Demographic bias
Health disparities
Transfer learning
Online Access:https://doi.org/10.1186/s12911-025-02862-7
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1186/s12911-025-02862-7

Similar Items