In recent years, the healthcare sector has undergone an accelerated scientific transformation driven by the integration of artificial intelligence (AI) into medical diagnostics, the monitoring of vital signs, the analysis of clinical data, and the prediction of health risks. This shift has extended to nursing practice, where intelligent systems now serve as aids in assessing patients' health status, prioritizing care, and tracking responses to therapeutic interventions. Key Scientific Themes of the Article: The scientific foundation of AI in nursing: its applications in clinical monitoring, the prediction of complications, and the analysis of health data. Nursing decision-making—human intellect versus algorithms: the limits of relying on intelligent systems for professional decision-making. Legal liability for errors involving intelligent systems: the distribution of responsibility among nurses, healthcare institutions, and technology developers, depending on the nature of the error. Health data protection and digital privacy: legal risks arising from the collection, processing, and exchange of medical information. The future of the legal regulation of digital nursing practice: the need for legislative and professional standards that keep pace with technological advancement .Al-Mustaqbal University The first University in iraq