# Empathic and agentic artificial intelligence in nursing: perspectives on a human-centered framework for cancer care navigation in the United States

arXiv: https://arxiv.org/abs/2606.00010 · HTML: https://mlsanity.com/paper/2606.00010/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 2 of its 234 references that are in the map.
- First posted on arXiv 11 Apr 2026.

## Builds on (most cited first, 2 of 2)

- [Exploring Bias and Prediction Metrics to Characterise the Fairness of Machine Learning for Equity-Centered Public Health Decision-Making: A Narrative Review](https://mlsanity.com/paper/2408.13295/) (2024)
- [AI chatbots versus human healthcare professionals: a systematic review and meta-analysis of empathy in patient care](https://mlsanity.com/paper/2602.05628/) (2026)

## Abstract (arXiv)

For patients experiencing cancer, nurse navigation can ease the burden of complex care by enhancing coordination of health services and patient outcomes. However, in under-resourced areas, trained nurse navigators may be limited or non-existent. In the United States, artificial intelligence (AI)-enabled digital health tools are increasingly available and may help address gaps in care coordination; however, most are not designed to specifically support nursing. This perspective piece discusses a human-centered AI framework that integrates empathic and agentic approaches grounded in the American Nurses Association's code of ethics to support nurses in the United States in cancer care navigation. The framework could augment, not replace, human empathy and agency while improving nurse workflow, patient-clinician relationships, and care coordination services in under-resourced areas.