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Every patient would be able to see which AI tools were used in their diagnosis or treatment plan, what they do, how well they work and how to question them.
Patients are rarely informed when AI has contributed to their diagnosis or plan. The proposal requires a patient-facing model card, drawn from the model registry, attached to the patient's record whenever an AI tool influences care: what the tool did, its validated performance in plain terms, the version, and how to request human review. This supports informed consent, builds trust and creates a feedback channel for errors.
Shares A public registry of every AI model used in cancer care, 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 A public registry of every AI model used in cancer care, 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 A public registry of every AI model used in cancer care, 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 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 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.