CT-Agent: Clinical Trial Multi-Agent with Large Language Model-based Reasoning

arXiv:2404.14777v1 Announce Type: cross
Abstract: Large Language Models (LLMs) and multi-agent systems have shown impressive capabilities in natural language tasks but face challenges in clinical trial applications, primarily due to limited access to external knowledge. Recognizing the potential of advanced clinical trial tools that aggregate and predict based on the latest medical data, we propose an integrated solution to enhance their accessibility and utility. We introduce Clinical Agent System (CT-Agent), a Clinical multi-agent system designed for clinical trial tasks, leveraging …

abstract access advanced agent applications arxiv capabilities challenges clinical clinical trial cs.cl cs.lg face knowledge language language model language models large language large language model large language models llms multi-agent natural natural language reasoning systems tasks tools type