{
  "id": 9358,
  "url": "https://doi.org/10.7759/cureus.40895",
  "title": "ChatDoctor: A Medical Chat Model Fine-Tuned on a Large Language Model Meta-AI (LLaMA) Using Medical Domain Knowledge",
  "summary": "Objective The primary aim of this research was to address the limitations observed in the medical knowledge of prevalent large language models (LLMs) such as ChatGPT, by creating a specialized language model with enhanced accuracy in medical advice. Methods We achieved this by adapting and refining the large language model meta-AI (LLaMA) using a large dataset of 100,000 patient-doctor dialogues sourced from a widely used online medical consultation platform. These conversations were cleaned and",
  "authors": "Yunxiang Li, Zihan Li, Kai Zhang, Ruilong Dan, Steve Jiang, You Zhang",
  "category": "research",
  "topics": "healthcare",
  "orgs": "openai,meta",
  "regions": null,
  "published_at": "2023-06-24T00:00:00.000Z",
  "fetched_at": "2026-07-14T16:33:54.151Z",
  "source_slug": "openalex",
  "source_name": "OpenAlex",
  "source_homepage": "https://openalex.org",
  "ethics_ai_record_url": "https://ethics.ai/record/9358",
  "original_url": "https://doi.org/10.7759/cureus.40895",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}