most citedFairFML: Fair Federated Machine Learning with a Case Study on Reducing Gender Disparities in Cardiac Arrest Outcome Prediction

4 citations · 5 across the 2 of their papers we have counts for

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cs.AI2024

Towards Clinical AI Fairness: Filling Gaps in the Puzzle

Mingxuan Liu, Yilin Ning, Salinelat Teixayavong +16

The ethical integration of Artificial Intelligence (AI) in healthcare necessitates addressing fairness-a concept that is highly context-specific across medical fields. Extensive st…

cs.AI2024

Developing Federated Time-to-Event Scores Using Heterogeneous Real-World Survival Data

Siqi Li, Yuqing Shang, Ziwen Wang +7

Survival analysis serves as a fundamental component in numerous healthcare applications, where the determination of the time to specific events (such as the onset of a certain dise…