Théo Sourget

Even state-of-the-art medical AI models like MedCLIP are vulnerable to real-world shortcuts that can compromise diagnostic reliability.

Adding more data from a new scanner can actually hurt your model by causing it to learn spurious correlations, even though clinical experts believe scanner variation is a key source of diversity.