Transparent AI Agents for Multimodal Cancer Diagnosis: A Viewpoint

AI agents for oncology—feedback-driven systems that maintain state, select tools, and revise plans under safety constraints—should target transparent and traceable clinical decision support, not autonomous cancer diagnosis, a new Viewpoint argues.

• The definition separates AI agents from multimodal foundation models, retrieval-augmented generation, and fixed workflow automation.
• Clinical translation requires resilient failure handling, guideline version control, prospective evaluation, and clinician authority over final decisions.

Automated summary

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