In our next AI developer working group, you can look forward to an exciting presentation by Prof. Dr. Axel Mosig and doctoral student Johannes Schwarz. 🧬
Her presentation will focus on the topic: “What is normal? Modeling-based anomaly detection for transparent and trustworthy artificial intelligence in medicine”.
In medical AI, diagnosis is often based on anomaly detection – diseases are recognized as deviations from “normal” patterns.
The speakers make it clear that this issue is central, but often goes unnoticed. They therefore propose a model-based approach that makes implicit assumptions visible and thus makes AI models more transparent and trustworthy. 🩺🤖
So don’t miss the AI:developer:inside working group if you are interested in AI in medicine. 😊