Commentary on News

This introduction summarizes the June 4, 2026 PLOS ONE study that compared ChatGPT (GPT-5.2), Gemini 3 Flash and Perplexity (Sonar-4) on myofascial pain syndrome queries and found 18 queries produced 54 AI responses that were all above a 6th-grade reading level (p < 0.001). The PLOS ONE authors used Google Trends (March 1, 2026) to select the keywords, ran each query in clean sessions against three free LLM versions, and archived the first responses for analysis. If you run qualitative analysis of AI health content, the PLOS ONE paper shows exactly what to measure and why: readability indices (FRES, FKGL, GFOG, CLI, ARI, SMOG) and quality/reliability scales (GQS, EQIP, Modified DISCERN, JAMA). The open dataset is available on Figshare and the study is published in PLOS ONE.