Technical Specification: Artificial Intelligence for Health (MPAI-AIH) – Health Secure Platform (AIH-HSP) V1.0 specifies:
- The architecture of an end-to-end system called Secure Health Platform composed of:
- Front Ends that:
- Acquire Health Data.
- Process Health Data with AI Modules based on Neural Networks producing AI Health Data (AIH Data).
- License AIH Data to the Back End by attaching Licences to AIH Data.
- Share their Neural Network Models with the Health Back End for Federated Learning purposes.
- A Back End that:
- Collects and stores AIH Data.
- Stores AIH Data Licences as Smart Contracts in a Blockchain.
- Processes AIH Data with AI Modules based on Neural Networks.
- Provides access to and enables Third-Party users to process AIH Data based on Smart Contracts.
- Collects Neural Network Models from Health Front Ends
- Produces and distributes newer Neural Network Models.
- A Blockchain that manages Smart Contracts.
- Front Ends that:
AIH-HSP specifies Taxonomies for Data, Processing, and Actors of the Health Secure Platform.
Technical Specification: Data Types, Formats, and Qualifiers V1.3 specifies the Health Data Type Qualifiers.
Health Data is processed by AI Modules executed in AI Frameworks specified by Technical Specification: Artificial Intelligence Framework (MPAI-AIF) V2.1.
The functionalities of the project should be provided in compliance with the relevant applicable legal frameworks such as the European Union General Data Protection Regulation (GDPR) [6] or Artificial Intelligence Act [7].
Technical Specification: Artificial Intelligence for Health (MPAI-AIH) – Health Secure Platform (AIH-HSP) V1.0 has been developed by the AI Health Development Committee (AIH-DC) of Moving Picture, Audio, and Data Coding by Artificial Intelligence (MPAI), the international, unaffiliated, non-profit organisation developing standards for AI-based data coding.
MPAI may develop other Technical Specifications in the AI for Health domain and its extensions.