MPAI publishes the AI for Health V1.0 standard with a Request for Community Comments

Top Quote MPAI - the international, non-profit, unaffiliated organisation developing AI-based data coding standards - has concluded its 64th General Assembly (MPAI-64) publishing the AI for Health V1.0 standard. End Quote
  • (1888PressRelease) February 05, 2026 - Geneva, Switzerland - Moving Picture, Audio and Data Coding by Artificial Intelligence – the international, non-profit, unaffiliated organisation developing AI-based data coding standards - has concluded its 64th General Assembly (MPAI-64) publishing the AI for Health V1.0 standard.

    Technical Specification: AI for Health (MPAI-AIH) – Health Secure Platform (AIH-HSP https://mpai.community/standards/mpai-aih/hsp/v1-0/) V1.0 envisages that AIH-HSP subscribers use personal devices running AI Framework implementations (front ends) to locally process and submit health data to the AIH-HSP back end. A licence attached to health data specifies the types of processes that the back end or specific organisations called Third-Party Users may perform and the type of use they can make of the process data. The back end is connected to a blockchain storing the smart contracts governing the processes that the back end and the Third-Party Users can perform on subscriber data. From time to time, the backend collects neural networks trained by front ends and distributes an updated neural network used by AIH-HSP subscribers with the knowledge acquired by the community using Federated Learning.

    There are several ways to know more about the standards:
    -Register at https://us06web.zoom.us/meeting/register/PIObi3-bQKOiqHK1-nYvbA to attend the -public online presentation of the standard on 9 February 2026 at 15 UTC.
    -Read AI for Health (MPAI-AIH) – Health Secure Platform (AIH-HSP) V1.0 https://mpai.community/standards/mpai-aih/hsp/v1-0/
    -Read a short Introduction to AIH-HSP V1.0 https://mpai.community/standards/mpai-aih/an-introduction-to-aih-hsp-v1-0/

    MPAI is also publishing V2.4 of Context-based Audio Enhancement (MPAI-CAE) - Use Cases (CAE-USC).

    ###
space
space
  • FB Icon Twitter Icon In-Icon
Contact Information
  • Leonardo Chiariglione
  • Mpai
  • c/o Me Olivier BRUNISHOLZ 5 Cours des Bastions 1205 Geneva.
  • 1025
  • Voice: 390119350461
  • Visit our Site