Expert-Guided Large Language Models for Clinical Decision Support in Precision Oncology | Synapse
October 1, 2024Open Access
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.
Abstract
Expert feedback and domain-specific data augment LLM performance. Future research should investigate responsible LLM integration into real-world clinical workflows.