Board-certified ground truth for AI in medical imaging.
Your algorithm is only as good as its reference. We deliver the medical core of your AI development and validation: qualified radiologists, methodology, annotations and consensus.
For AI companies and their study partners
Whether in development, CE marking under the MDR or FDA clearance: AI products in radiology need specialist references – in training, in testing and in the clinical evaluation. We deliver that medical building block; the regulatory study as a whole can stay with your CRO, your core lab or your trial platform – we integrate into their setup.
What we provide
| GROUND TRUTH | Board-certified annotation and reporting of training and test data – to a defined annotation protocol, with documented reader qualifications |
| REFERENCE | Reference standard collection with multiple reads and consensus procedures (adjudication) |
| READER STUDIES | The medical part of standalone and comparative reader studies (including MRMC designs): qualified readers, blinding, documentation |
| EXPERT REVIEW | Radiological assessment of endpoints, misclassifications and clinical workflow fit |
Why board-certified readers make the difference
Annotations produced by non-specialist staff introduce systematic errors that propagate into the model and into the approval data. Notified bodies and regulators increasingly ask about the qualifications of the readers and the methodology behind the ground truth. We document both – in a form that holds up in your technical documentation.
Neutrality
Q-Rad is a purely medical service provider. We assess your product as a neutral medical party – with one interest: robust, reproducible reference data for your development and approval.
Let's talk about your ground truth.
A short conversation usually settles which reader setup your project needs.
Arrange an initial call