Sources

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All medical content on this website is based on peer-reviewed research. Sources include primary journal articles accessed through EBSCOHost, medical webinars hosted by the Ehlers-Danlos Society, and responses generated by OpenEvidenceAI—a medical AI tool that draws exclusively from peer-reviewed literature. I consider this website a work in progress, shaped by ongoing input from the community. With your feedback and suggestions—submitted through the Contact page—I hope it will continue to grow in accuracy, depth, and usefulness over time.

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Disclaimer: Diagnostic Limitations and Research Variability

Hypermobile Ehlers-Danlos syndrome (hEDS) is a clinical diagnosis, made based on medical history, physical examination, and exclusion of other conditions. There is currently no known genetic test to confirm hEDS, which means that some individuals who meet the diagnostic criteria may ultimately be found to have another connective tissue disorder—or may not have EDS at all.

 

Because of these diagnostic uncertainties, research studies on hEDS often include varied patient populations, sometimes referred to as different “cohorts.” As a result, findings may differ between studies, particularly when it comes to connective tissue abnormalities, associated conditions, or symptom patterns.

 

This site presents peer-reviewed medical information, but it is not a substitute for professional medical evaluation or care.

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What Is OpenEvidence AI?

 

OpenEvidence AI is a clinical decision support tool designed to help healthcare professionals navigate the overwhelming volume of medical research and guidelines. Founded in 2021 by Harvard-trained technologists and physicians, its mission is to make peer-reviewed medical knowledge accessible, accurate, and easy to use at the point of care.

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Purpose and Mission

• Created to address the problem of information overload in medicine, where clinicians struggle to keep up with the flood of new research.

• Uses advanced AI trained exclusively on peer-reviewed medical literature, clinical guidelines, and expert consensus.

• Offers clear, citation-backed answers to clinical questions in real time, making it a trusted tool during patient care.

 

Adoption and Growth

• As of 2025, OpenEvidence is used by over 150,000 U.S. physicians, including more than 40% of practicing doctors.

• Widely adopted by hospitals, medical groups, and academic institutions.

• Integrated with major clinical content providers, including partnerships with the New England Journal of Medicine and the JAMA Network.

 

Clinician Feedback and Validation

• Peer-reviewed studies and independent evaluations have praised its

  • Clarity of explanations

  • Alignment with physician treatment plans

  • Time-saving value during clinical decision-making

• A 2025 Mayo Clinic study confirmed its recommendations were both accurate and evidence-based across a range of primary care cases.

 

Available to Clinicians

• Free to licensed healthcare providers in the U.S.

• Offers additional paid features which are primarily geared toward larger clinical teams and institutions.

 

 

The Reliability of OpenEvidence AI
 

Open Evidence AI is a proprietary medical AI platform used by some clinicians and researchers. While it is marketed as using only peer-reviewed sources, the specific criteria for journal inclusion are not publicly available in detail. However, based on similar platforms and their claims, we can infer several likely inclusion standards.

 

Although not publicly confirmed, reputable medical AI systems typically include journals that meet the following standards.

1. Peer-Reviewed Status

2. Articles must be published in journals that use an editorial peer review process involving subject matter experts.

3. Indexing in Major Databases

4. Journals are likely selected from databases such as:

   • PubMed / MEDLINE

   • Embase

   • Scopus

   • Web of Science

   • These databases vet journals for legitimacy and editorial rigor.

5. Journal Impact and Reputation

6. Preference is often given to journals with high impact factors or established reputations in their field (e.g., JAMA, The Lancet, Nature Reviews Rheumatology).

7. Publisher Standards

8. Inclusion usually requires journals to be published by recognized academic publishers such as:

   • Elsevier

   • Springer Nature

   • Wiley

   • BMJ

   • Oxford or Cambridge University Press

9. Compliance with Ethical Guidelines

10. Articles must follow ethical publishing standards (e.g., COPE, ICMJE).

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Following is some more information about its reliability.

• Mayo Clinic review: “…OE provided accurate, evidence-based recommendations in all cases, aligning with physician plans.”

• Family Medicine commentary: “a scholarly‑style response with citations … OE cites recent articles from reputable journals and society guidelines”

• OpenEvidence is now used by over 10,000 health centers and 150,000+ U.S. clinicians.

• OpenEvidence has partnered with Elsevier’s ClinicalKey AI to integrate the latest clinical guidelines.

• OpenEvidence has partnered with The New England Journal of Medicine and the Journal of the American Medical Association, among other journals.

• In 2024, OpenEvidence became the first AI system to score over 90% on the U.S. Medical Licensing Exam (USMLE)—a benchmark exam for American physicians.

• OpenEvidence can contain errors, especially due to outdated information.

• Offers additional paid features which are primarily geared toward larger clinical teams and institutions.

 

Summary

OpenEvidence AI is a clinical decision support tool designed to provide healthcare professionals with fast, accurate, and citation-backed answers based solely on peer-reviewed medical research. Founded in 2021 by Harvard-trained physicians and technologists, its mission is to combat information overload in medicine and improve point-of-care decision-making.

• Purpose: Helps clinicians access current, peer-reviewed evidence quickly during patient care.

• Data Sources: Draws exclusively from trusted medical literature, guidelines, and expert consensus.

• Adoption: Used by over 150,000 U.S. physicians and integrated into hospitals, medical schools, and journals like NEJM and JAMA.

• Reliability: Independent studies—including one from the Mayo Clinic—validate its accuracy, clarity, and alignment with clinical standards.

• Access: Free for licensed U.S. clinicians, with expanded features for institutional use.

• Limitations: Though highly reliable, it may contain occasional errors due to outdated material.

OpenEvidence has emerged as a respected, research-based AI platform, offering medical professionals a powerful tool to enhance evidence-based care.​​