LLMs in prostate MRI reporting: a conservative roadmap for safe, auditable use

For prostate MRI reports, large language models should be limited to bounded, auditable tasks—structured extraction, completeness checks, quality assurance support, and source-linked patient addenda—with no new facts, human sign-off, and continuous monitoring.

• Intended audience: radiologists and clinical informatics teams evaluating large language model tools for MRI reporting and patient communication.
• Take-home: restrict large language models to bounded, auditable tasks such as structured extraction, completeness checks, and source-linked addenda rather than autonomous classification.
• Regulatory context: evolving European Union AI Act rules and United States Food and Drug Administration clinical decision support guidance emphasize human oversight and independent review.

Automated summary

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