Loading
If public or charity money paid to build a cancer AI model, the model itself (not just a paper about it) must be released so others can test, improve and use it.
Most publicly funded cancer AI is described in papers but the trained model is never released, so it cannot be independently validated or built on. The proposal makes release of weights, code, a model card and evaluation data (or an evaluation API where data cannot be shared) a condition of grant funding, mirroring open-access and data-sharing policies, with a governed-access route for models with genuine dual-use or privacy concerns.
Shares How medical AI devices are evaluated: limitations and recommendations from an analysis of FDA approvals, AI that is built but not validated or deployed.
Shares Preclinical results do not reproduce, Cancer Research UK, National Cancer Institute (NIH).
Shares How medical AI devices are evaluated: limitations and recommendations from an analysis of FDA approvals, AI that is built but not validated or deployed.
Shares How medical AI devices are evaluated: limitations and recommendations from an analysis of FDA approvals, AI that is built but not validated or deployed.
Shares Preclinical results do not reproduce, Cancer Research UK, National Cancer Institute (NIH).
Shares How medical AI devices are evaluated: limitations and recommendations from an analysis of FDA approvals, AI that is built but not validated or deployed.
Shares How medical AI devices are evaluated: limitations and recommendations from an analysis of FDA approvals, AI that is built but not validated or deployed.
Shares Preclinical results do not reproduce, Cancer Research UK, National Cancer Institute (NIH).