Memorisation bias in medical AI
It is shown that predictions on a patient's unseen future data can change significantly if a model observed that same patient's anonymised historical data during training, a phenomenon known as memorisation bias, which exists across diverse data modalities and model architectures, and over prolonged time spans.
Moritz A. Knolle, M. Menten, Laurin Lux et al.
· 0 citations