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Updated: Jul 17, 2026
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Virtual Agent for Real-Time Motivational Interviewing by Integrating Adaptive Nonverbal Behavior and Language Models
Published on: December 23, 2025
Behavior Change Content and Implementation of Large Language Model-Driven Conversational Agents in Cardiometabolic
Yuhan Zhao1, Rongrong Guo1, Yiqun Miao1
1School of Nursing, Capital Medical University, 10 You-An-Men Wai Xi Tou Tiao, Fengtai District, Beijing, 100069, China, 86 13910789837.
Journal of Medical Internet Research
|July 15, 2026
Summary
Large language models (LLMs) are emerging in cardiometabolic care but lack transparency. More research is needed to confirm their long-term benefits for patient self-management.
Area of Science:
- Digital Health
- Artificial Intelligence in Medicine
- Behavioral Science
Background:
- Large language models (LLMs) are increasingly integrated into conversational agents for cardiometabolic care.
- The behavior change content, delivery, and implementation transparency of these LLM-driven systems are not well understood.
Conclusions:
- LLM agents for cardiometabolic care are proliferating but early-stage and heterogeneous.
- Current systems use LLMs mainly for education with limited safety and behavior change functions.
- Rigorous comparative studies are needed to establish sustained clinical benefits.
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