Artificial intelligence in endometriosis care: A comparative analysis of large language model and human specialist responses to endometriosis-related queries
This study evaluated large language models' potential to answer endometriosis-related queries, finding AI was not inferior to human specialists.
One-sentence paraphrase of the abstract; not a substitute for reading it. No clinical advice. How this works
This paper compared responses generated by large language models with those from human specialists to endometriosis-related questions, assessing how well AI could answer patient-style queries in a digital information context. The study found that AI performance was not inferior to human specialists in addressing these endometriosis-related queries, though reviewers could significantly distinguish AI-generated from human-generated responses. A major limitation reported was that interrater agreement was only slight, indicating variability in how evaluators judged the outputs. This paper is centrally about endometriosis—specifically, evaluating AI versus human specialist responses to endometriosis-related queries in “endometriosis care.”
Read from the paper's body, not the abstract. Not a substitute for reading the paper. No clinical advice. How this works
My notes (saved in your browser only)
Condition tags
Citation neighborhood (no data yet)
We don't have any in-corpus citations linked to this paper yet. This is a recent paper (2025) — citers typically take a year or two to land, and the OpenAlex reference graph may still be filling in.
Source provenance
- openalex
- last seen: 2026-06-10T17:14:06.276822+00:00