We enable clinicians and other AI buyers to gain trust in an AI product before adoption by providing third-party evaluation reports at the target user site.
Local site data may have particular populations, acquisition properties and clinical scenarios; our assessments provide validation evidence based on performance and safety as well as explanations to black-box models.
Health care organisations and radiologists looking to adopt AI
Validate performance claims on local data
Ensure fairness across demographics
Support for NHS Buyer's Guide Assessment (Performance & Safety)
Compare products from different vendors
Developers of imaging AI products looking to sell to healthcare providers
Gain trust with your clinical buyer
Accelerate time to sale with local evidence
Use internally for self-assessment
Standardise reporting in clinical studies
PACS vendors and other platforms offering suites of AI products
Allow healthcare decision makers to assess products across your platform
Validate performance claims on local data, local operators and local acquisition methods
Can the model make reliable predictions, even in unexpected situations?
Can the model predictions be explained by a user?
Is the model making the right decisions for the right reasons?
Is performance the same across all demographics and protected groups?