Conversational health agents: a personalized large language model-powered agent framework.

ABSTRACT:

Objective

Conversational Health Agents (CHAs) are interactive systems providing healthcare services, such as assistance and diagnosis. Current CHAs, especially those utilizing Large Language Models (LLMs), primarily focus on conversation aspects. However, they offer limited agent capabilities, specifically needing more multistep problem-solving, personalized conversations, and multimodal data analysis. We aim to overcome these limitations.

Materials and methods

We propose openCHA, an open-source LLM-powered framework, designed to enable the development of conversational agents. OpenCHA offers a foundational and structured architecture and codebase, enabling researchers and developers to build and customize their CHA based on the specifics of their intended application. The f

SUBMITTER: Abbasian M 

PROVIDER: S-EPMC12228965 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature