Skip to main content
Mother Nature AI
Trust & Transparency

Editorial Standards

How we create, review, and maintain health content at Mother Nature AI. Our commitment to accuracy, transparency, and evidence-based information.

Evidence-Based Approach

All health information published on Mother Nature AI is grounded in scientific evidence. We prioritize the highest quality sources available:

  • Peer-reviewed medical journals and systematic reviews (PubMed, Cochrane Library)
  • Clinical practice guidelines from recognized medical organizations (AHA, ADA, ACOG, NIH, WHO)
  • Established pharmacological databases for drug interaction information
  • Government health agency publications (FDA, CDC, NIH Office of Dietary Supplements)
  • Monographs from Commission E, ESCOP, and the American Herbal Products Association

Evidence Tier System

We use a transparent evidence tier system so readers can assess the strength of evidence behind every claim:

Strong

Supported by multiple randomized controlled trials (RCTs), systematic reviews, or meta-analyses. Recognized by major medical organizations.

Moderate

Supported by limited RCTs, well-designed observational studies, or preliminary clinical trials showing consistent results.

Preliminary

Based on in-vitro studies, animal models, traditional use, or very early-stage human research. More research is needed.

Content Creation Process

1

Research & Drafting

Health content is drafted using indexed medical literature, clinical guidelines, and established pharmacological references.

2

Evidence Verification

Claims are cross-referenced against peer-reviewed sources. Drug interactions are verified against established interaction databases.

3

Safety Review

All content undergoes safety review for appropriate disclaimers, contraindication warnings, and emergency referral language.

4

Publication & Monitoring

Published content is monitored for accuracy and updated when new research or clinical guidelines emerge.

What We Do Not Do

  • We do not diagnose medical conditions or prescribe treatments
  • We do not replace the relationship between patients and their healthcare providers
  • We do not make claims unsupported by scientific evidence without clearly labeling them as preliminary
  • We do not provide emergency medical advice — users are directed to call 911 or visit their nearest emergency room
  • We do not sell supplements, medications, or health products — we have no financial relationship with product manufacturers
  • We do not train AI models on user health data or sell user information to third parties

Content Updates & Corrections

Medical knowledge evolves. We are committed to keeping our content current:

  • Health condition guides are reviewed and updated on a regular basis
  • Supplement profiles are updated when new clinical trials or safety data emerge
  • Drug interaction information is cross-referenced with current pharmacological databases
  • If you find an error or outdated information, please contact us at support@askmn.ai