{
  "id": 10703,
  "url": "https://www.jmir.org/2026/1/e89190",
  "title": "Behavior Change Content and Implementation of Large Language Model–Driven Conversational Agents in Cardiometabolic Care: Scoping Review",
  "summary": "Background: Large language models (LLMs) are increasingly embedded in conversational agents for cardiometabolic care. These systems could support self-management, but their behavior change content, delivery mechanisms, and implementation transparency are poorly understood. Objective: This scoping review mapped behavior change techniques (BCTs) used in LLM-driven conversational agents for cardiometabolic prevention and management, described how these techniques are delivered across static, rule-b",
  "authors": "Yuhan Zhao, Rongrong Guo, Yiqun Miao, Yuan Luo, Huiying Wang, Ying Wu",
  "category": "research",
  "topics": "agents-autonomy,transparency",
  "orgs": null,
  "regions": null,
  "published_at": "2026-07-15T18:45:11.000Z",
  "fetched_at": "2026-07-16T05:10:56.605Z",
  "source_slug": "x-jmir-journal-of-medical-internet-researc",
  "source_name": "JMIR (Journal of Medical Internet Research)",
  "source_homepage": "https://www.jmir.org",
  "ethics_ai_record_url": "https://ethics.ai/record/10703",
  "original_url": "https://www.jmir.org/2026/1/e89190",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}