Public use of a generalist LLM chatbot for health queries

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News Source : Nature.com

News Summary

  • We analyse over 500,000 de-identified health-related conversations with Microsoft Copilot from January 2026.
  • Nearly one in five conversations involves personal symptom assessment or condition discussion.
  • One in seven of these personal health queries concerns someone other than the user.
  • Personal queries increase markedly in the evening and nighttime hours, when traditional healthcare is most limited.
  • Usage diverges sharply by device: mobile concentrates on personal health concerns, while desktop is dominated by professional and academic work.
  • A substantial share of queries focuses on navigating healthcare systems.
Our dataset comprises conversations classified as Health and Fitness. After applying the step 1 classifier (described in the Methods) and excluding two categories not analysed further (Not Health and [+7669 chars]

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