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For clinicians

See what is in use — and how far it has been checked.

Find AI by the clinical problem it addresses, see where it is being trialled or used, read what was measured and on whom, and flag what concerns you.

For clinicians

How far it has been checked

Every record says who checked it: software, a Lab reviewer, the provider, or an independent party. Most have been checked by software only, and the record says so.

Oversight stays human

Every record states the AI's autonomy level. You always know what the AI decides and what stays with you.

Raise a safety signal

Any account holder can raise a signal on a record. The Lab triages it and it is shown on the record's page. None has been raised yet; the first will matter.

How AIH Lab works for clinicians

AIH Lab is a structured library, not a vendor catalogue. Every entry is built from a clinical concept first and a product second, so you can compare like-for-like across hospitals and countries.

The pipeline (Submit → Curate → Mature → Validate → Scale) makes the evidence behind a use case explicit. Most of the Library stands at the second step: read against its source and classified. “Validated” will mean a documented review of seven governance sections, each signed by a named institution. No use case has completed one yet, and the Library will say so when the first does.

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For clinicians · AIH Lab