2 papers
cs.LG2025
Assessing the Real-World Utility of Explainable AI for Arousal Diagnostics: An Application-Grounded User Study
Stefan Kraft, Andreas Theissler, Vera Wienhausen-Wilke +2
Artificial intelligence (AI) systems increasingly match or surpass human experts in biomedical signal interpretation. However, their effective integration into clinical practice re…
cs.LG2024
ALPEC: A Comprehensive Evaluation Framework and Dataset for Machine Learning-Based Arousal Detection in Clinical Practice
Stefan Kraft, Andreas Theissler, Vera Wienhausen-Wilke +2
Detecting arousals in sleep is essential for diagnosing sleep disorders. However, using Machine Learning (ML) in clinical practice is impeded by fundamental issues, primarily due t…