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cs.LG2026
Temporal Fusion Nexus: A task-agnostic multi-modal embedding model for clinical narratives and irregular time series in post-kidney transplant care
Aditya Kumar, Simon Rauch, Mario Cypko +10
We introduce Temporal Fusion Nexus (TFN), a multi-modal and task-agnostic embedding model to integrate irregular time series and unstructured clinical narratives. We analysed TFN i…
cs.LG2025★ 3 cited
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.…