PathMCQA
PathMMU is a massive multimodal expert-level benchmark for understanding and reasoning in pathology, containing 33,428 multimodal multi-choice questions and 24,067 images validated by seven pathologists. It evaluates Large Multimodal Models (LMMs) performance on pathology tasks, with the top-performing model GPT-4V achieving only 49.8% zero-shot performance compared to 71.8% for human pathologists.
MedGemma 4B IT from Google currently leads the PathMCQA leaderboard with a score of 0.698 across 1 evaluated AI models.
MedGemma 4B IT leads with 69.8%.
Progress Over Time
Interactive timeline showing model performance evolution on PathMCQA
PathMCQA Leaderboard
| Context | Cost | License | ||||
|---|---|---|---|---|---|---|
| 1 | Google | 4B | — | — |
FAQ
Common questions about PathMCQA.
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