Unmasking Bias in AI: A Systematic Review of Bias Detection and Mitigation Strategies in Electronic Health Record-based Models

30 October 2023

Papers citing "Unmasking Bias in AI: A Systematic Review of Bias Detection and Mitigation Strategies in Electronic Health Record-based Models"

6 / 6 papers shown

Title
The Multimodal Paradox: How Added and Missing Modalities Shape Bias and Performance in Multimodal AI Kishore Sampath Pratheesh Ayaazuddin Mohammad Resmi Ramachandranpillai 21 0 0 05 May 2025
Uncertainty Quantification for Machine Learning in Healthcare: A Survey L. J. L. Lopez Shaza Elsharief Dhiyaa Al Jorf Firas Darwish Congbo Ma Farah E. Shamout 52 0 0 04 May 2025
CLE-SH: Comprehensive Literal Explanation package for SHapley values by statistical validity Youngro Lee Kyungjin Kim Jongmo Seo FAtt 14 2 0 19 Sep 2024
AI-Driven Healthcare: A Review on Ensuring Fairness and Mitigating Bias Sribala Vidyadhari Chinta Zichong Wang Xingyu Zhang Thang Doan Viet A. Kashif Monique Antoinette Smith Jun Liu W. Zhang 34 1 0 29 Jul 2024
CLIMB: A Benchmark of Clinical Bias in Large Language Models Yubo Zhang Shudi Hou Mingyu Derek Ma Wei Wang Muhao Chen Jieyu Zhao ELM 32 2 0 07 Jul 2024
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 294 4,187 0 23 Aug 2019