Auditing clinical AI in oncology: strengthening assurance frameworks and nursing leadership in the Asia–Pacific context

Artificial intelligence (AI) is increasingly being used in cancer care across the Asia-Pacific region.However, AI tools that work well in one country or hospital can fail in another because of differences in patients, equipment, language, and clinical practice.This commentary explains why three different checks-validation (does it work for our patients?),verification (is it built correctly?), and auditing (is it safe and fair over time?)-are all needed to ensure AI is used safely.We argue that oncology nurses, who spend the most time with patients, are essential partners in these checks but are usually left out.To address this, we propose the Integrated Clinical AI Audit Principles (ICAAP): seven evidence-based principles that combine the best parts of existing AI governance frameworks.Embedding nurses as formal AI auditors can help ensure that AI-enabled cancer care is safer and more patient-centered.