Artificial Intelligence (AI) is rapidly becoming part of everyday health care, supporting diagnosis, documentation, triage, treatment planning, and resource allocation. Much of the public discussion has focused on accuracy, privacy, and fairness. In a new paper in the Journal of Medical Internet Research, KI researcher Farhad Abtahi highlights a less-discussed patient-safety issue: data poisoning, where manipulated training data can steer an AI system toward unsafe behaviour.