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ITU COUNCIL 26

Focus Group on "Artificial Intelligence for Health"

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FG-AI4H

The Focus Group on Artificial Intelligence for Health (FG-AI4H) was a partnership of ITU and the World Health Organization (WHO) to establish a standardized assessment framework for the evaluation of AI-based methods for health, diagnosis, triage or treatment decisions. Participation in the FG-AI4H was free and open to all. The group was established by ITU-T Study Group 16 at its meeting in Ljubljana, Slovenia, 9-20 July 2018 and closed operations on 30 September 2023. Its work is grandfathered in the Global Initiative on AI for Health (GI-AI4H) launched by ITU, WHO and WIPO on 5 July 2023 during the AI for Good Summit.

​The FG scope and general proc​​ess were described in a commentary in The Lancet and a white paper. The documentation of all previous meetings can be found on the collaboration site (free ITU account needed; see instructions for help). Learn more about the FG operations in the onboarding document.

​Terms of reference ​​

Parent group > ITU-T Study Group 16​
​​ Final report
FG-AI4H Final Report: Shaping ethics, regulation and standardization in AI for health​​
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Deliverables
The 36 FG-AI4H deliverables follow four pillars on AI for health: (1) ethics, (2) regulations, (3) technology and (4) clinical evaluation and use cases. It also produced other outputs tailored to specific needs. Here are some of them:
Access all completed deliverables

Topic Groups
Topic groups (TGs) investigate use cases within specific health domains with corresponding AI/ML tasks. During the FG-AI4H ​operations, 24 such groups existed. More >

Working Groups
Working groups (WGs) consider crosscutting subject matters that affect a specific aspect of an AI health application. More >

Open Code Initiative
The Open Code Initiative* worked to implement the building blocks of the FG-AI4H assessment platform as a digital public good, which will support the end-to-end assessment of AI for health algorithms under consideration of regulatory guidelines and the needs of all AI for health stakeholders.

More > OCI development site | Terms of reference

* NB - In the context of the successor activity within the GI-AI4H, the OCI was renamed as Open Code Infrastructure.​

​ Ad-hoc Group on Digital Technologi​​es for COVID Health Emergencies
The AHG-DT4HE reviewed the role of AI (and other digital technologies) in combatting COVID-19 throughout an epidemic’s life cycle, with a view to learn how to best leverage digital technologies to successfully manage future health emergencies. The group produced one output document [AHG-DT4HE Output 1].

Other output documents
To receive updates and announcements, please subscribe to the FG-AI4H mailing list (see the "Participating" tab on the right of this page).


Management and contact

​​​​Chairman:

  • ​​​​​Thomas Wiegand (Fraunhofer HHI, Germany)

V​ice-Chair​​​​​​men:

  • ​​​​Stephen Ibaraki (ACM and REDDS Capital​, USA)
  • Ramesh Krishnamurthy (WHO/Health Metrics and Measurement Cluster)
  • Naomi Lee (NICE​​, UK)
  • Sameer Pujari (WHO / Lead Digital Frontiers and AI​, Strategy and governance at Digital Health and Innovations)​
  • Manjula Singh (ICMR, India)
  • Shan Xu​ (​CAICT, China)​
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Secretariat:

Working Groups

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Open Code Initiative (OCI)

  • FG-AI4H Open Code ​Initiative
    Team leader: Marc Lecoultre (MLlab.AI, CH)
    [Public page | Development site]
    (NB - Renamed as Open Code Infrastructure in the context of the GI-AI4H)

Ad-hoc Group

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ITU/WHO/WIPO GI-AI4H meeting

17 - 19 Mar 2025 at the

National University of Singapore, Singapore
Centre for Life Science
28 Medical Drive, Singapore 117456
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Participate!... (click to expand)
Workshop during AI4G Summit 2025
Future GI-AI4H meetings (TBC):
  • 4th quarter 2025
  • 1st quarter 2026
All FG-AI4H meetings

AI for Health Webinar Series
  • See past sessions here

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Retrieving Data

Participating

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