Expert-Guided Large Language Models for Clinical Decision Support in Precision Oncology

Key Points

• This research explores how expert guidance and specific data improve the performance of large language models in oncology.
• Leveraged expert feedback to enhance model training.
• Incorporated domain-specific data for clinical applications.
• Evaluated the performance of LLMs in decision-making scenarios.
• Expert-guided LLMs showed improved accuracy in clinical decision support.
• Significant performance gains were observed compared to standard models.
• Integration of LLMs into clinical workflows was suggested as a future research direction.