Medical AI, evaluated on real-world clinical data
Evaluated once, reused everywhere. Open evaluations of medical AI on Korean clinical datasets released by Seoul National University Hospital. Every result ships with scores, item level predictions, and exact model versions, ready for researchers to cite and for agents to query.
8 benchmarks · 21 models · 42 results · 38 reuses
BUILDING · benchmark builder Building Intraoperative hypotension, the authors' unbiased dataset Build Watch →For AI agents: curl -s https://benchtoward.com/AGENTS.md
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Clinical text
ClinicalQA: Korean Medical Knowledge QA Benchmark · accuracy
- 1GLM-5.3 753B-A40B0.909
- 2Gemini 3.8 Flash0.908
- 3Qwen3.8 Max 2.4T-A95B0.906
Reference: Majority class (always B) 0.343
+ 16 more models
Korean Surgical Robot Voice-Command Benchmark · exact_match
- 1Qwen3.8 Max 2.4T-A95B0.947
- 2DeepSeek V4.1 Flash 552B-A16B0.929
- 3Qwen3.8 Flash Next 180B-A6B0.921
Reference: Prior (ignores the input) 0.133
+ 1 more model
Biosignal
SCOPE: ICU ECG and PPG before cardiac arrest, death or discharge · auroc
- 1LightGBM on 33 HRV measures (SCOPE authors' training script)0.826
Reference: Prior (ignores the input) 0.500
VitalDB Arrhythmia Database · auroc
- 1Gradient boosting on RR-interval features0.961
Reference: Prior (ignores the input) 0.500
VitalDB · auroc
- 1Gradient boosting on window summary features0.910
- 2Logistic regression on last-minute MAP0.852
Speech
Structured EHR
INSPIRE · auroc
- 1Logistic regression, mean imputation (INSPIRE authors' script)0.936
- 2XGBoost (INSPIRE authors' script)0.924
- 3ASA class alone (INSPIRE authors' baseline)0.818
Synthetic-SNUH v4 · rs0
- 1DeepSeek V4.1 Flash 552B-A16B0.663
- 2gpt-oss 20B0.223
Reference: Prior (ignores the input) 0.178
Reference: Constant query (SELECT 0 for every question) 0.000
Synthetic-SNUH v4 (10,000 synthetic patients)
Recently evaluated
- DeepSeek V4.1 Flash 552B-A16B on Synthetic-SNUH Text-to-SQL (OMOP CDM, Korean and English): 0.663 (0.579–0.743) 18h ago
- gpt-oss 20B on Synthetic-SNUH Text-to-SQL (OMOP CDM, Korean and English): 0.223 (0.158–0.292) 18h ago
- HuatuoGPT-3 27B on Korean clinical knowledge (KMLE-level MCQ): 0.897 (0.878–0.915) 31h ago
- LightGBM on 33 HRV measures (SCOPE authors' training script) on ICU cardiac arrest within 0.5-24 h from a 5-min ECG epoch: 0.826 (0.723–0.903) 32h ago
- Qwen3.8 Max 2.4T-A95B on Korean surgical robot voice commands: 0.947 (0.916–0.974) 43h ago