Artificial Intelligence in Medicine

Trustworthy AI

Mittwoch, 18.03.2026

Machine learning (ML) in medicine has the potential to transform patient care in coming years. In medical image analysis for example, ML algorithms already reach excellent performance in many tasks, sometimes even surpassing expert human performance. Despite these advances, using ML in patient care holds a potential for harm: when an algorithm makes mistakes this can lead to wrong treatment decisions. ML systems in healthcare must therefore be trustworthy and compliant with regulatory requirements. In this lecture, we will cover the following aspects of trustworthy AI: - Interpretability - Generalisation - Uncertainty - Fairness - Validation - Regulatory context

Dozierende(r):	Lisa Koch
18.03.2026:	12:15 - 14:00
Ort:	215 Hauptgebäude Hochschulstrasse 4

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