Mirror AI Shatters Endocrinology Exam, Outperforming LLMs with Evidence-Based Reasoning

research #llm 🔬 Research|Analyzed: Feb 19, 2026 05:02•

Published: Feb 19, 2026 05:00

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1 min read

Analysis

This research showcases an exciting advancement in AI for medical applications! The "Mirror" system demonstrates superior performance on a challenging endocrinology exam, significantly outperforming cutting-edge 大規模言語モデル (LLMs) by grounding its reasoning in curated evidence. This approach provides a pathway toward more trustworthy and auditable clinical AI.

Key Takeaways

•Mirror's evidence-grounded approach achieved 87.5% accuracy on an endocrinology board-style exam.
•The AI outperformed GPT-5.2, GPT-5, and Gemini-3-Pro, showcasing superior clinical reasoning.
•The system's outputs are traceable, citing guideline sources for auditability.

Reference / Citation

View Original

"Mirror achieved 87.5% accuracy (105/120; 95% CI: 80.4-92.3%), exceeding a human reference of 62.3% and frontier LLMs including GPT-5.2 (74.6%), GPT-5 (74.0%), and Gemini-3-Pro (69.8%)."

ArXiv AIFeb 19, 2026 05:00

* Cited for critical analysis under Article 32.

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