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AI integration in nursing care may be supported by coordinated, ethically grounded, and context-sensitive strategies, and the proposed domains require further empirical evaluation across nursing settings.
An umbrella review aimed to synthesize ethical and policy dimensions related to the integration of artificial intelligence within nursing governance and regulatory frameworks and found AI creates linked governance concerns involving data, fairness, transparency, autonomy, and accountability.
Overall, causal AI represents a transformative advancement in healthcare analytics, supporting more informed, individualized, and evidence-based clinical decisions and has significant potential to improve patient outcomes and guide the future of intelligent, personalized healthcare delivery.
Findings indicate that artificial intelligence can support the integration and analysis of multi-omics data, support the identification of genetic variants and disease associations, and improve predictive modeling for precision medicine.
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