The rapid integration of artificial intelligence into clinical workflows has exposed a fundamental mismatch between traditional legal concepts of property and the realities of modern health data processing. As machine learning models, autonomous clinical agents, and natural language algorithms ingest electronic health records (EHRs), generate predictive risk scores, and synthesize novel patient profiles, a central jurisdictional conflict emerges regarding who legally owns thi