{
  "abstract": "OBJECTIVES: To compare the perceived quality, safety, and relevance of ChatGPT responses to those provided by verified physicians on Reddit, a large online discussion platform, in response to questions related to endometriosis. METHODS: We selected 30 endometriosis-related questions posted on Reddit's r/AskDocs forum, each answered by a verified physician. Using the same question prompts, ChatGPT (GPT-3.5) generated matched-length responses. Responses were anonymized, randomized (A/B format), and assessed blindly by three university-affiliated physicians using a 11-item Likert-scale questionnaire covering medical accuracy, safety, clarity, empathy, and alignment with best practices. Evaluators also indicated which response they considered most pertinent and whether they suspected AI authorship. RESULTS: ChatGPT responses were rated significantly higher than physicians' responses on most items, including medical coherence (mean 3.89 ± 0.89 vs. 3.08 ± 0.92), clarity (3.93 ± 0.95 vs. 3.04 ± 0.99), and empathy (3.91 ± 0.93 vs. 2.76 ± 1.09), all with p-values < 0.001. Experts selected ChatGPT as the most pertinent response in 63.3 % of cases. A substantial proportion of responses from both sources were considered potentially dangerous by at least one expert: 26.7 % for ChatGPT and 60.0 % for physicians (p = 0.019). CONCLUSION: ChatGPT outperformed Reddit physicians on multiple expert-rated criteria, particularly in terms of clarity, empathy, and adherence to clinical recommendations. However, the non-negligible proportion of responses considered potentially dangerous by experts underscores the need for cautious use and appropriate supervision of such technologies.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": null,
  "author_total": 6,
  "authors": [
    {
      "name": "Clémence Beaulieu"
    },
    {
      "name": "Aubert Agostini"
    },
    {
      "name": "Patrice Crochet"
    },
    {
      "name": "Xavier Carcopino"
    },
    {
      "name": "Salma Touleimat"
    },
    {
      "name": "Antoine Netter"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/3t3x9tw5awbw6.bib",
  "cited_by": 6,
  "doi": "10.1016/j.ijmedinf.2025.106034",
  "fulltext_url": null,
  "id": "3t3x9tw5awbw6",
  "issns": [
    "1386-5056"
  ],
  "landing_url": "https://normandie-univ.hal.science/hal-05743636v1",
  "language": "en",
  "licence": "CC-BY",
  "licence_label": "CC BY",
  "licence_source": "journal",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "hal",
      "0.sdv"
    ],
    [
      "openalex",
      "2718|Artificial Intelligence in Healthcare and Education"
    ]
  ],
  "openalex": "W4411966833",
  "pdf_url": null,
  "pmcid": null,
  "pmid": null,
  "published": "2026-09-09",
  "publisher": "Elsevier",
  "ris": "https://research.draconitic.com/paper/3t3x9tw5awbw6.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:17:31Z",
      "native_id": "hal-05743636",
      "source": "hal",
      "url": "https://normandie-univ.hal.science/hal-05743636v1"
    }
  ],
  "subjects": [
    {
      "field": "medicine",
      "origin": "openalex:2718|Artificial Intelligence in Healthcare and Education",
      "subfield": "epidemiology-public-health"
    }
  ],
  "title": "Comparing ChatGPT and physicians’ answers to endometriosis questions on Reddit: A blind expert evaluation",
  "title_text": "Comparing ChatGPT and physicians’ answers to endometriosis questions on Reddit: A blind expert evaluation",
  "type": "peer-reviewed",
  "updated_at": "2026-10-30T12:17:31Z",
  "url": "https://research.draconitic.com/paper/3t3x9tw5awbw6",
  "venue": "International Journal of Medical Informatics",
  "versions": []
}