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

Journal: JAMIA open
Published Date: Jul 6, 2025

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.

Authors

  • Mahyar Abbasian
    Department of Computer Science, University of California Irvine, Irvine, CA 92697-2625, United States.
  • Iman Azimi
  • Amir M Rahmani
    Department of Computer Science, University of California Irvine, Irvine, USA.
  • Ramesh Jain
    University of California, Irvine, Irvine, California, United States of America.

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