Assessing ChatGPT vs. evidence-based online responses for polycystic ovary syndrome self-management and education: an international cross-sectional blinded survey of healthcare professionals - Scorecard - MDSpire

Assessing ChatGPT vs. evidence-based online responses for polycystic ovary syndrome self-management and education: an international cross-sectional blinded survey of healthcare professionals

  • By

  • Sandro Graca

  • Alexander Dallaway

  • Folashade Alloh

  • Harpal S. Randeva

  • Chris Kite

  • Ioannis Kyrou

  • March 31, 2026

  • 0 min

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Clinical Scorecard: Evaluating ChatGPT and Evidence-Based Online Resources for Self-Management and Education in Polycystic Ovary Syndrome: A Blinded International Survey of Healthcare Providers

At a Glance

CategoryDetail
ConditionPolycystic Ovary Syndrome (PCOS)
Key MechanismsEndocrine and metabolic disorder characterized by hyperandrogenism, ovulatory dysfunction, and polycystic ovarian morphology
Target PopulationWomen affected by PCOS worldwide (estimated 11%–13%)
Care SettingMultidisciplinary healthcare involving gynecologists, endocrinologists, primary care physicians, and nurses

Key Highlights

  • ChatGPT responses to PCOS FAQs were rated significantly higher than evidence-based online responses by healthcare professionals.
  • ChatGPT offers interactive, conversational, and simplified medical language potentially enhancing patient self-education.
  • Further research is needed to optimize integration and validate clinical applicability of AI tools for PCOS self-management.

Guideline-Based Recommendations

Diagnosis

  • Diagnosis of PCOS is often delayed due to heterogeneous clinical presentation and knowledge gaps.
  • Multidisciplinary approach recommended involving various healthcare professionals.

Management

  • Patient education and information provision are critical to reduce care variation and improve satisfaction.
  • Use of evidence-based guidelines informed by National Health and Medical Research Council (NHMRC) is advised.

Monitoring & Follow-up

  • Symptom tracking tools such as AskPCOS symptom tracker can support ongoing management.

Risks

  • Reliance on low-quality, inaccurate, or commercially driven internet sources may misinform patients.
  • Need to ensure AI tools provide accurate, readable, and evidence-based information.

Patient & Prescribing Data

Individuals with PCOS seeking self-management and educational resources online

ChatGPT may serve as a complementary tool for patient education by providing interactive and simplified responses, but clinical validation is required.

Clinical Best Practices

  • Incorporate multidisciplinary care teams to address the complex presentation of PCOS.
  • Utilize validated symptom trackers and evidence-based online resources for patient self-management.
  • Evaluate and integrate AI tools like ChatGPT cautiously, ensuring information accuracy and readability.
  • Educate patients on discerning credible health information sources to avoid misinformation.
  • Support ongoing research to establish optimal use of AI in PCOS education and management.

References

Original Source(s)

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