Generative LLMs for Radiology Reporting

Scope

LLMs can draft structured reports summarize prior records and generate patient friendly summaries. Clinical deployment requires strict validation and guardrails to prevent hallucination. Integration with imaging metadata and PACS improves relevance.

Validation

Compare LLM outputs to expert radiologist reports across diverse cases. Monitor for factual errors and inappropriate suggestions and maintain human in the loop. Establish metrics for accuracy completeness and safety.

Workflow Impact

LLMs can reduce documentation time and standardize language while preserving radiologist oversight. Triage and prioritization assistants can surface critical findings faster. Governance and audit trails are required for medicolegal safety.

Ethical Considerations

Protect PHI and ensure models are trained on representative clinical data. Disclose AI assistance in reports per institutional policy. Maintain clinician final sign off and responsibility.

New Radiology Articles

Generative LLMs for Radiology Reporting