{
  "id": 9646,
  "url": "https://doi.org/10.1186/s12911-024-02459-6",
  "title": "Assessing the research landscape and clinical utility of large language models: a scoping review",
  "summary": "IMPORTANCE: Large language models (LLMs) like OpenAI's ChatGPT are powerful generative systems that rapidly synthesize natural language responses. Research on LLMs has revealed their potential and pitfalls, especially in clinical settings. However, the evolving landscape of LLM research in medicine has left several gaps regarding their evaluation, application, and evidence base. OBJECTIVE: This scoping review aims to (1) summarize current research evidence on the accuracy and efficacy of LLMs in",
  "authors": "Ye‐Jean Park, Abhinav Pillai, Jiawen Deng, Eddie Guo, Mehul Gupta, Mike Paget",
  "category": "research",
  "topics": "healthcare",
  "orgs": "openai",
  "regions": null,
  "published_at": "2024-03-12T00:00:00.000Z",
  "fetched_at": "2026-07-14T16:33:57.582Z",
  "source_slug": "openalex",
  "source_name": "OpenAlex",
  "source_homepage": "https://openalex.org",
  "ethics_ai_record_url": "https://ethics.ai/record/9646",
  "original_url": "https://doi.org/10.1186/s12911-024-02459-6",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}