(Informative)

Technical Specification: Artificial Intelligence for Health (MPAI-AIH) – Health Secure Platform (AIH-HSP) V1.0 – in the following also called AIH-HSP V1.0 or AIH-HSP – supports advanced forms of health services provided by a server – called Back End – that:

  1. Collects and accesses governed Health Data from End Users.
  2. Processes Health Data in AI Workflows of its internal AI Framework.
  3. Enables qualifier Third-Party Users
  4. Collects and re-distributes AI Models updated via federated learning techniques.

End Users collect, process, and upload their (processed) Health Data using devices called Front Ends that:

  1. Acquire different types of Health Data.
  2. Process Health Data running AI Workflows in their internal AI Frameworks.
  3. License Health Data to the Back End with Rights to sublicense their AIH Data to qualified Third-Party Users.

In the following, both processed and unprocessed Health Data are called AI Health Data (AIH Data).

Chapters and Sections are Normative unless they are explicitly identified as Informative. Capitalised Terms are defined in Table 1 if specific of this MPAI-AIF Technical Specification. All MPAI-defined Terms are accessible online.

The development of MPAI-AIH V1.0 was stimulated by the AIM Health Portuguese project.