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This commentary addresses the need for effective auditing of AI tools in oncology to ensure safety and fairness.

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

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Commentary proposes integrated principles for auditing AI in oncology, emphasizing nursing roles in patient care and safety.

This commentary addresses the need for effective auditing of AI tools in oncology to ensure safety and fairness.
Describes three checks: validation, verification, and auditing needed for AI in cancer care.
Proposes Integrated Clinical AI Audit Principles (ICAAP) combining existing AI governance frameworks.
Emphasizes the role of oncology nurses as essential partners in the auditing process.
Highlights the challenges of AI variability across different countries and hospitals.
Argues for the embedding of nurses as formal AI auditors to enhance patient-centered care in oncology.
Suggests ICAAP principles for a more robust assurance in AI applications.

Adapa et al. (2026) studied this question.

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