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cs.LG2025
One Size Fits None: Rethinking Fairness in Medical AI
Roland Roller, Michael Hahn, Ajay Madhavan Ravichandran +10
Machine learning (ML) models are increasingly used to support clinical decision-making. However, real-world medical datasets are often noisy, incomplete, and imbalanced, leading to…
cs.LG2022
When Performance is not Enough -- A Multidisciplinary View on Clinical Decision Support
Roland Roller, Klemens Budde, Aljoscha Burchardt +6
Scientific publications about machine learning in healthcare are often about implementing novel methods and boosting the performance - at least from a computer science perspective.…