Health static understanding eval
Only in system cards
Models answer static health questions over text conversations, documents such as lab reports, and images. Graded against clinician guidelines.
In-house Google DeepMind evaluation. The tasks are not public.
Made by Google DeepMind Medicine Tasks kept private Last in a system card Oct 2026
Last model added Oct 2026
- Level
- Expert Specialists with years of training, often over hours of work
- Scored
- Graded by a model A language model scores each response, usually against a rubric.
- Answers
- Open-ended Free-form text, documents, designs or media judged as a whole.
1
System card reports it, from 1 lab
No scores here yet
No lab, leaderboard or Epoch AI run has reported a score for Health static understanding eval yet.
Labs report it only in system cards
We read the headline results of 479 launch posts from 51 labs, and none of them list this benchmark. Some system cards do, below.
One system card reports it
Besides launch posts, we read the system cards, model cards and technical reports labs publish with a release. They report far more, including safety and frontier-risk tests.
| Date | Document | Score | As the document writes it | Section |
|---|---|---|---|---|
| 13 Oct 2026 | | 72.7 | Static text, document, and image understanding, evaluation score 72.7 (Table 5.1) | Health |
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