Healthcare AI Validation
Independent, clinically informed model assessment and validation planning.
Illustrative imageryWhat this service involves
Dataset evaluation, error analysis, model behavior testing, safety evaluation and review reports.
Who we work with
Medical AI companies and research organizations.
Planning a project?
Share the modality, intended use, approximate volume and the type of clinical or technical expertise you need. We can discuss a suitable project scope.
Start a project enquiryAreas of support
Clinically relevant evaluation datasets
Requirements, quality measures and deliverables are tailored to the agreed project scope.
Error, subgroup and safety-oriented analysis
Requirements, quality measures and deliverables are tailored to the agreed project scope.
Review findings and reporting requirements
Requirements, quality measures and deliverables are tailored to the agreed project scope.
How a project is scoped
We begin with the intended AI or research application, then agree on data specifications, expertise, review stages, quality criteria and delivery format. Project commitments are defined in a written proposal or agreement.
- Requirements and feasibility discussion
- Data rights, privacy and security considerations
- Annotation, review and acceptance requirements
- Deliverables, pricing and milestones agreed in writing
Enquire about Healthcare AI Validation
Use a service enquiry rather than a ShevsHealth product waitlist.
Request a service proposal