Clinical Correlation No Longer Required: An LLM Practical Use Scenario in PET Reporting

Key Points

• This research addresses the challenge of interpreting incidental findings in PET scans and their impact on patient care.
• Utilized a large language model (LLM) to analyze PET reports.
• Examined the frequency and implications of incidental findings in clinical practice.
• Evaluated patient outcomes associated with LLM-guided reporting.
• The use of LLMs reduced unnecessary patient anxiety regarding incidental findings.
• Cost savings were observed in the health care system due to fewer diagnostic procedures.
• LLM analysis improved clarity and efficiency in interpreting PET findings.