{
  "id": 9460,
  "url": "https://doi.org/10.1016/j.ebiom.2023.104770",
  "title": "Benchmarking large language models’ performances for myopia care: a comparative analysis of ChatGPT-3.5, ChatGPT-4.0, and Google Bard",
  "summary": "BACKGROUND: Large language models (LLMs) are garnering wide interest due to their human-like and contextually relevant responses. However, LLMs' accuracy across specific medical domains has yet been thoroughly evaluated. Myopia is a frequent topic which patients and parents commonly seek information online. Our study evaluated the performance of three LLMs namely ChatGPT-3.5, ChatGPT-4.0, and Google Bard, in delivering accurate responses to common myopia-related queries. METHODS: We curated thir",
  "authors": "Zhi Wei Lim, Krithi Pushpanathan, Samantha Min Er Yew, Yien Lai, Chen‐Hsin Sun, Janice Sing Harn Lam",
  "category": "research",
  "topics": "healthcare",
  "orgs": "openai,google",
  "regions": null,
  "published_at": "2023-08-22T00:00:00.000Z",
  "fetched_at": "2026-07-14T16:33:54.156Z",
  "source_slug": "openalex",
  "source_name": "OpenAlex",
  "source_homepage": "https://openalex.org",
  "ethics_ai_record_url": "https://ethics.ai/record/9460",
  "original_url": "https://doi.org/10.1016/j.ebiom.2023.104770",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}