Reliability and readability of adenoid hypertrophy information generated by five publicly accessible LLM chatbots: A default-setting snapshot study - Report - MDSpire

Reliability and readability of adenoid hypertrophy information generated by five publicly accessible LLM chatbots: A default-setting snapshot study

  • By

  • Xiaoming Qian

  • Zhishui Wu

  • Jing Li

  • Qiuyu Su

  • Qian Qin

  • Beibei Zhang

  • July 2, 2026

  • 0 min

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Clinical Report: Assessment of LLMs for Adenoid Hypertrophy Information

Overview

This study evaluates the reliability and readability of information on adenoid hypertrophy provided by five large language models (LLMs). The findings indicate variability in the quality of information generated.

Background

Adenoid hypertrophy is prevalent in children, with rates as high as 34%–70%. It can lead to significant health issues such as nasal obstruction and sleep apnea.

Data Highlights

No numerical data or trial data were presented in the article.

Key Findings

  • Five LLMs were evaluated for their ability to generate patient-oriented information on adenoid hypertrophy.
  • Existing studies have shown mixed results regarding the reliability and readability of LLMs in medical contexts.
  • Leading health organizations recommend that patient materials be written at or below a sixth-grade reading level.
  • The study utilized the CHART reporting guideline to enhance transparency and reproducibility.
  • Patient concerns were represented through public search trends and social media inquiries.

Clinical Implications

Clinicians should be aware of the variability in information quality generated by LLMs.

Conclusion

The study highlights the need for evaluating AI-generated health information for conditions like adenoid hypertrophy.

Related Resources & Content

  1. npj Digital Medicine, 2026 -- Large language models provide unsafe answers to patient-posed medical questions
  2. npj Digital Medicine, 2025 -- A typology of physician input approaches to using AI chatbots for clinical decision-making
  3. Comparing Accuracy, Completeness, and Preferences of Physician and AI-Generated Communications in Urology: Insights from Patients and Doctors
  4. The ASCO Post, 2025 -- Study Finds AI Chatbots Are Vulnerable to Spreading Malicious, False Health Information
  5. Adenoid Hypertrophy - Otolaryngology - Merck Manual Professional Edition
  6. Adenoid Hypertrophy - StatPearls - NCBI Bookshelf
  7. Overview | Otitis media with effusion in under 12s | Guidance | NICE
  8. Adenoidectomy for otitis media with effusion (OME or 'glue ear') in children | Cochrane
  9. Adenoid Hypertrophy - Otolaryngology - Merck Manual Professional Edition
  10. Adenoid Hypertrophy - StatPearls - NCBI Bookshelf
  11. Overview | Otitis media with effusion in under 12s | Guidance | NICE
  12. Adenoidectomy for otitis media with effusion (OME or 'glue ear') in children | Cochrane
  13. European Position Paper on Rhinosinusitis and Nasal Polyps 2020
  14. Topical nasal steroids for adenoid hypertrophy in children: A systematic review and meta-analysis - ScienceDirect
  15. Effectiveness and safety of intranasal corticosteroids for adenoid Hypertrophy: A systematic review and meta-analysis - ScienceDirect
  16. Adenoid hypertrophy—​diagnosis and treatment: the new S2k guideline | HNO | Springer Nature Link

Original Source(s)

Reliability and readability of adenoid hypertrophy information generated by five publicly accessible LLM chatbots: A default-setting snapshot study

  • by Xiaoming Qian, Zhishui Wu, Jing Li, Qiuyu Su, Qian Qin, Beibei Zhang

  • July 2, 2026

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