Chinese Expert Consensus Issues 30 Recommendations for AI in Cancer Imaging

An 81-expert Chinese panel reached consensus (scores 8.06–8.58 on 9-point scale) on 30 statements covering AI applications from cancer screening to post-deployment surveillance. Recommendations include expert-supervised labeling, multicenter validation, interpretable outputs, an…

• Modified Delphi process involved 81 specialists in radiology, nuclear medicine, oncology, and AI.
• Consensus addressed screening, diagnosis, staging, treatment planning, response assessment, prognostic prediction, data governance, and implementation.
• Mean scores ranged from 8.06 to 8.58, with ≥86% of experts scoring ≥7 on all statements.

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