74P Self-hosted open-source large language models for autonomous clinical agents

Abstract

Large Language Model (LLM) agents show immense potential for clinical decision-making. However, their real-world translation is hindered by two critical gaps. First, the reliance on third-party cloud-only LLMs challenges institutional needs for data sovereignty and control. Second, a singular focus on accuracy in current research overlooks the need for quantifying the agent’s decision confidence. To address both challenges, we present a fully self-hosted medical agent with a novel, multi-dimensional confidence assessment framework.

Ähnliche Arbeiten