Can LLMs reliably predict medical risks?
RiskAgent: Autonomous Medical AI Copilot for Generalist Risk Prediction
This paper introduces RiskAgent, a multi-agent LLM system designed for medical risk prediction. It collaborates with existing clinical decision tools (risk calculators) rather than being trained on massive datasets. RiskAgent utilizes three agents: a Decider to select appropriate tools, an Executor to run them and format results, and a Reviewer to evaluate the process. Key points for multi-agent LLM systems include the efficiency gained by delegating tasks to specialized agents, the improved accuracy and transparency from leveraging existing tools, and the potential for reduced privacy concerns by using smaller, open-source LLMs. The modular, tool-based approach also shows promise for adaptability and generalization across various medical tasks.