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May 15, 2026Asia-Pacific Journal of Oncology NursingOpen Access

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

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Authors

KAKarthik AdapaMMMounika MettaSKSuguna Kotte

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Overview

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

Key Points

  • 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.

Cite This Study

Adapa et al. (2026) studied this question.

synapsesocial.com/papers/6a06b7a1e7dec685947aa642https://doi.org/10.1016/j.apjon.2026.100972
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