The Integration of Artificial Intelligence Into Precision Medicine for Neuro-Oncology: Ethical, Clinical, and Nursing Implications in Immunotherapy Care.

Abstract

This paper explores how artificial intelligence (AI) is being woven into precision medicine for neuro-oncology, highlighting its ethical, clinical, and nursing implications in the realm of immunotherapy. With AI-powered diagnostics and predictive analytics, we're seeing a boost in treatment accuracy, which paves the way for more personalized and effective care. On the clinical side, AI is fine-tuning targeted therapies, leading to better patient outcomes and less treatment-related toxicity. However, ethical concerns pop up around data privacy, algorithmic bias, and fair access to these AI-driven treatments. Nurses are at the forefront of tackling these issues, ensuring that care remains patient-centered, monitoring AI-assisted interventions, and grappling with ethical challenges. Their role in education and advocacy is crucial in connecting the dots between AI innovations and compassionate care. As AI continues to advance, it's vital for different disciplines to work together to tap into its potential while maintaining ethical standards and enhancing care in neuro-oncology.