At our next AI developers’ workshop, you can look forward to an exciting talk by Prof. Dr Axel Mosig and PhD student Johannes Schwarz. 🧬
Her talk focuses on the topic: ‘What is normal? Modelling-based anomaly detection for transparent and trustworthy artificial intelligence in medicine’.
In medical AI, diagnosis is often based on anomaly detection – diseases are identified as deviations from ‘normal’ patterns.
The speakers highlight that this issue is crucial, yet often goes unnoticed. They therefore propose a model-based approach that makes implicit assumptions explicit, thereby making AI models more transparent and trustworthy. 🩺🤖
So don’t miss the AI Developers’ Work Group if you’re interested in AI in medicine. 😊
