8 citations · 10 across the 4 of their papers we have counts for
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cs.LG2025
Unsupervised risk factor identification across cancer types and data modalities via explainable artificial intelligence
Maximilian Ferle, Jonas Ader, Thomas Wiemers +7
Risk stratification is a key tool in clinical decision-making, yet current approaches often fail to translate sophisticated survival analysis into actionable clinical criteria. We…
cs.LG2024★ 2 cited
Inadequacy of common stochastic neural networks for reliable clinical decision support
Adrian Lindenmeyer, Malte Blattmann, Stefan Franke +2
Widespread adoption of AI for medical decision making is still hindered due to ethical and safety-related concerns. For AI-based decision support systems in healthcare settings it…