Author

K. Tran

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Open access Aug 2026

When can predictive uncertainty be trusted? A methodological evaluation in free-living wearable electrocardiogram signal-quality assessment

Uncertainty quantification is proposed as a safeguard for machine-learning systems in health-related signal analysis, but an uncertainty score is useful only if it behaves as a reliability signal. Free-living wearable electrocardiogram (ECG) signal-quality assessment provides a test bed because ambiguity, artifact, and...

K. Tran · medRxiv · 0 citations

Jul 2026

Information-seeking failures of large language models in agentic clinical reasoning

Large language models achieve high scores on medical knowledge assessments, yet clinical reasoning requires actively deciding what to investigate under uncertainty. We developed an agentic evaluation framework in hematologic oncology in which models must proactively request clinical data across three sequential rounds...

K. Braitsch, L. Schmalbrock, Theresa Weltermann et al. · arXiv.org · 1 citation