About ClinArena
A rigorous benchmark for evaluating clinical AI systems and advancing the future of medical intelligence.
Our Mission
ClinArena is a new benchmark for evaluating clinical AI systems. Our goal is to create better health models and agents capable of sophisticated complex health analysis—systems that can accurately interpret multi-system conditions, identify clinically significant findings, and generate actionable insights from real-world EHR data.
This work is part of a larger effort to create rigorous evaluation frameworks for complex clinical reasoning systems, advancing the safe and effective deployment of AI in healthcare.
Why Human Expertise Matters
While AI systems can process vast amounts of data, human scientists and physician reviewers are essential for the most accurate interpretation and scoring of clinical AI responses. Your clinical judgment, expertise, and nuanced understanding of patient care cannot be replicated by automated systems.
Clinical Nuance
Physicians understand context, subtlety, and the complex interplay of symptoms, lab values, and patient history that automated systems may miss.
Safety & Accuracy
Your expertise ensures that potentially harmful or clinically inappropriate AI responses are identified and scored accordingly, protecting patient safety.
Quality Assessment
You can evaluate whether AI insights are truly actionable, evidence-based, and appropriate for real-world clinical decision-making.
Model Evolution
Your scores provide critical feedback that helps developers understand where models excel and where they need improvement.
How ClinArena Works
Synthetic Patient Data
We've created 50 synthetic patient records with multi-system conditions, complete with realistic EHR data including lab results, medications, family history, vital signs, and more. All data is synthetic—no Protected Health Information (PHI) is used—allowing for rigorous evaluation without privacy concerns.
Model Evaluation
We're comparing five leading clinical AI systems:
- Two versions of our OpenHealth system
- Gemini 3
- Claude Opus 4.5
- GPT-5.1
Each model analyzes the same patient cases, and you'll evaluate their responses through pairwise comparisons to determine which performs better.
Your Role
As a reviewer, you'll perform pairwise comparisons: for each case, review two anonymized model responses side-by-side and select which performs better. The interface displays:
- A patient summary (ground truth explanation)
- Expandable EHR data (labs, conditions, medications, family history, vital signs)
- Two anonymized model responses for comparison
There are 500 total comparisons (50 cases × 10 comparisons per case), each taking 1–2 minutes. We're asking for at least 50–100 comparisons, though more would be valuable. You can complete them at your own pace.
The Impact of Your Contributions
Your rankings and evaluations serve multiple critical purposes:
Validating Synthetic Datasets
Your evaluations help validate a synthetic dataset we plan to release publicly, providing the research community with a rigorous benchmark for clinical AI evaluation.
Assessing Hallucination Risk
Your scores help assess whether current AI systems avoid hallucinations with complex patients—a critical safety concern for real-world deployment.
Evaluating Analytical Depth
Your evaluations determine whether deeper analytical capabilities yield better clinical insights, guiding the development of next-generation clinical AI systems.
Establishing New Benchmarks
Your scores help establish new benchmarks that can include synthetic patient data, creating standards for evaluating clinical AI systems that don't rely on real patient data.
Model Evolution
Your feedback directly informs model development, helping teams understand strengths and weaknesses, prioritize improvements, and build more effective clinical AI systems.
Publication & Recognition
Contributors will be included as co-authors following standard authorship guidelines. Your expertise and contributions are essential to building clinical AI that is highly effective and safe for real-world deployment.
By participating, you're not just evaluating AI systems—you're helping shape the future of clinical AI and contributing to research that will benefit patients and clinicians worldwide.
Ready to Contribute?
Your clinical expertise is essential to advancing the safe and effective deployment of AI in healthcare. Join us in building better clinical AI systems.