Ensuring medical AI safety: interpretability-driven detection and mitigation of spurious model behavior and associated data - Pahde, Frederik; Wiegand, Thomas; Lapuschkin, Sebastian; Samek, Wojciech (Machine learning, 2025)
Keywords: Annotations; Artifact identification; Artificial Intelligence; Artificial neural networks; Automation; Bias; Computer Science; Control; Datasets; Identification; Localization; Machine Learning; Mechatronics; Medical equipment; Melanoma; Natural Language Processing (NLP); Neural networks; Robotics; Simulation and Modeling; Subject specialists; Explainable artificial intelligence; Bias mitigation; Data annotation; Interpretability; Spurious correlations