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GSR 2025

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. Currently there are 24 groups, three of which are starting their activities. 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

Ad-hoc Group on Digital Technologies for COVID Health Emergencies
The AHG-DT4HE reviews the role of AI (and other digital technologies) in combatting COVID-19 throughout an epidemic’s life cycle. Through this case study, we will learn how to best leverage digital technologies to successfully manage future health emergencies.

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).


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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)

Ad-hoc Group

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
Participate!... (click to expand)
Future GI-AI4H meetings (TBC):
  • July 2025 during AI for Good
  • ​3rd quarter 2025​
All FG-AI4H meetings

AI for Health Webinar Series
  • See past sessions here
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Retrieving Data

Participating

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