8 docs tagged with "Severity"

Post an anonymous diagnostic report

The iframe URL accepts a number of query parameters that control its behaviour and appearance. This page is the canonical reference: every parameter the iframe supports is listed below, and each one is explained in detail in the sections that follow.

The most important feature of the API integration is receiving a DiagnosticReport with the information created by the Artificial Intelligence.

In this section, we present practical examples of workflows that can be integrated into your systems, utilizing the data provided by our device's API.

The result.questionnaires array carries the scoring systems applied to the imagery, each modelled as a FHIR QuestionnaireResponse. Every entry records the scoring methodology, the computed score and severity band, the facet answers that fed into it, and an optional explainability media overlay.

The scoringSystems field lives under result and houses one or more scoring models for the identified pathology. These models come into play when the likelihood of the most probable conclusion surpasses a certain threshold, and they are used to estimate the severity of that condition.

The iframe returns a JSON payload through the analysis_completed callback, and the full diagnostic report can be pulled from the API using the anonymousDiagnosticReportId it carries. That JSON is the raw material your host application uses to drive workflows.

The fastest way to surface a result is to let the iframe render the report itself. As soon as the analysis completes, the components below appear inside the iframe, with no additional rendering work required on the integrator side.