Monographic report
Open Access
Published December 30, 2024

5A MedAgent: a multi-agent collaborative system based on large language models for patient education

ZHOU Jieli
ZHOU Jieli
University of Michigan-Shanghai Jiao Tong Univeristy Joint Institute, Shanghai 200240, China
,
ZHOU Luting
ZHOU Luting
University of Michigan-Shanghai Jiao Tong Univeristy Joint Institute, Shanghai 200240, China
,
XIN Hongyi
XIN Hongyi
hongyi.xin@sjtu.edu.cn
Global Institute of Future Technology, Shanghai Jiao Tong Univeristy, Shanghai 200240, China
Author information
文章注释

ZHOU Jieli. E-mail: zhoujieli@sjtu.edu.cn

Corresponding author: XIN Hongyi. Tel: +86-21-34206045, E-mail: hongyi.xin@sjtu.edu.cn

Received December 12, 2024; Accepted December 24, 2024; Published December 30, 2024

Monographic report
Open Access
5A MedAgent: a multi-agent collaborative system based on large language models for patient education
ZHOU Jieli
ZHOU Jieli
University of Michigan-Shanghai Jiao Tong Univeristy Joint Institute, Shanghai 200240, China
,
ZHOU Luting
ZHOU Luting
University of Michigan-Shanghai Jiao Tong Univeristy Joint Institute, Shanghai 200240, China
,
XIN Hongyi
XIN Hongyi
hongyi.xin@sjtu.edu.cn
Global Institute of Future Technology, Shanghai Jiao Tong Univeristy, Shanghai 200240, China
Author information

ZHOU Jieli. E-mail: zhoujieli@sjtu.edu.cn

Corresponding author: XIN Hongyi. Tel: +86-21-34206045, E-mail: hongyi.xin@sjtu.edu.cn

文章注释

Received December 12, 2024; Accepted December 24, 2024; Published December 30, 2024

Published December 30, 2024
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Abstract

This study presents an intelligent system for patient education based on large language model (LLMs) and multi agent collaboration, achieving end-to-end process management through five specialized agents (Ask Agent, Assessment Agen, Advice Agent, Arrangement Agent, and Assistance Agent). The system not only improves treatment efficiency, but also provides more precise personalized treatment plans for complex cases, demonstrating significant value in enhancing patient education quality.


Key Words:  large language model; multi-agent system; artificial intelligence; patient education


Metaverse in Medicine

ISSN: 3006-4236

Volume 1, Issue 4

December 2024

Pages: 1-64

PDF CITE Accesses: 6
Metaverse in Medicine
ISSN: 3006-4236
ZENTIME PUBLISHING CORPORATION LIMITED
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