An empirical evaluation of the risks of AI model updates using clinical data: stability, arbitrariness, and fairness
arXiv:2604.23954v1 Announce Type: new
Abstract: Artificial Intelligence and Machine Learning (AI/ML) models used in clinical settings are increasingly deployed to support clinical decision-making. However, when training data become stale due to change…