WAY TO ENGAGE · 02
Clinical AI product validation
AI tools being deployed in clinical settings need to be tested by the clinicians who will use them — not by engineers, not by generalists.
Your real-world clinical experience is what turns a validation exercise into evidence.
WHAT THIS INVOLVES
Evaluating AI tools as a practicing clinician
You use, evaluate, and give structured feedback on AI tools built for clinical settings — diagnostic aids, decision support, documentation, and imaging platforms. As FDA and EU AI Act scrutiny grows, that evidence has to come from real clinicians in real practice.
- Usability and clinical workflow testing of AI tools
- Diagnostic performance: sensitivity, specificity, clinical agreement
- Multi-geography and multi-language validation for regulators
- Comparative studies: AI-assisted vs. standard-of-care
WHAT TO EXPECT
Structured protocol
You know the scope, the tool, and the criteria before you start.
Your context matters
Studies recruit for geography, language, and clinical setting.
Time-bounded
Defined dates — usually a few hours over a short window.
Regulatory-grade
Your work becomes part of a formal validation record.
WHO SUITS THIS
Clinicians whose practice context
adds weight to validation
- Clinicians in active practice
- Clinicians outside the US and Western Europe
- Non-English-speaking clinicians
- Specialists in fields with emerging AI — radiology, pathology, cardiology, and more
- Multiple provider roles — physicians, nurses, NPs, and PAs
HOW IT WORKS
From application to first project
01
Apply
Share your specialty, credentials, and availability.
02
Get matched
We match you to a validation study that fits your profile.
03
Evaluate
Work through the protocol and give structured feedback within the window.
04
Get compensated
Compensation is processed on completion, and may lead to follow-up studies.