EMSy vs Competitors: The Data
Comprehensive medical AI benchmark results on the MedQA dataset - 12,725 medical questions in English, Chinese, and Arabic
📊 Dataset
12,725 medical questions covering multiple languages and medical specialties
📈 Metric
Accuracy rate: percentage of correct answers out of total questions
🕐 Last Update
December 2024 - Latest version includes evaluation on HealthBench by OpenAI
Medical AI Benchmark Results
Accuracy on MedQA dataset - Higher is better
Methodology
Dataset: MedQA
The MedQA dataset contains 12,725 high-quality medical questions extracted from US medical licensing exams (USMLE). Questions are available in three languages: English, Simplified Chinese (China), and Arabic. Each question has been carefully curated to ensure clinical relevance and diagnostic accuracy. This multilingual approach ensures that EMSy can support healthcare professionals across different regions and language backgrounds.
Evaluation Procedure
- Single-shot evaluation: Each model receives the question without additional context or examples
- Uniform conditions: All models evaluated on identical hardware and identical question sets
- Multiple attempts: Each model tested multiple times to ensure consistency of results
- Clear metrics: Scoring based on exact match accuracy - a question is correct only if the model selects the exact correct answer
References & Data Sources
• MedQA Dataset: github.com/jind11/MedQA
• EMSy 2.0 & Prototipo: Internal evaluation conducted by EMSy team with board-certified emergency physicians
• Competitor Models: Public benchmark data and official model documentation
🆕 Test in Progress: HealthBench Evaluation
We are currently evaluating EMSy 2.0 on HealthBench
Early Results from HealthBench
EMSy 2.0 on HealthBench
89.3%
Performance on OpenAI's comprehensive healthcare benchmark
Improvement vs Prototype
+2.3%
Compared to EMSy Proto version
Understanding These Results
Different benchmarks measure different aspects of medical AI performance.
Why HealthBench results differ from MedQA:
- Broader medical scope: HealthBench covers all medical specialties, not just emergency medicine
- Different question format: Extended reasoning and clinical decision-making scenarios
- Context complexity: Multi-step diagnostic reasoning with real patient data simulation
- Specialization factor: EMSy is optimized for emergency medicine, which influences overall benchmark performance
- Contextual evaluation: HealthBench emphasizes practical clinical decision-making over pure medical knowledge
EMSy 2.0's performance on HealthBench reflects exceptional capability in emergency medical reasoning. While slightly lower than MedQA (due to broader scope and different evaluation methodology), the 89.3% score demonstrates that EMSy maintains world-class performance across diverse medical scenarios, not just emergency-specific situations.
Important Disclaimer
These benchmark results are based on specific datasets and controlled conditions. Real-world performance may vary based on input quality, context specificity, and clinical scenario complexity. Benchmark results do not guarantee diagnostic accuracy in actual clinical practice. EMSy should always be used as a clinical decision support tool in combination with professional medical judgment. Final diagnostic and therapeutic decisions must always remain with qualified healthcare professionals. Never rely solely on AI for patient care decisions. These benchmarks are for informational purposes and demonstrate EMSy's technical capabilities in medical knowledge domains.
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