A nursing perspective on human-AI collaboration in personalized breast cancer care pathways

Abstract

The integration of artificial intelligence (AI) has shown strong performance in well-defined clinical tasks, particularly in reader studies and workflow simulations. Translation into routine clinical environments, however, depends on local integration strategies, threshold selection, and governance arrangements. This perspective article adopts a nursing science perspective to argue that human-AI collaboration represents more than a technological addition—it constitutes a fundamental shift toward a synergistically enhanced nursing practice. Central to this paradigm is the effective integration of nursing expertise with algorithmic capabilities throughout all stages of care. When appropriately implemented and supervised, such integration has the potential to enhance both precision and efficiency in nursing practice. Importantly, it should be carried out in a way that preserves core nursing values, including patient-centered care, respect for individual dignity, and the integrity of therapeutic relationships. The proposed framework establishes a conceptual foundation intended to support the design of ethically aligned and clinically relevant human-AI systems. It further aims to guide the evolution of nursing practice within personalized breast cancer care.

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