

FG-AI4H
The ITU/WHO Focus Group on artificial intelligence for health (FG-AI4H) works in partnership with 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 is free of charge and open to all. The group was established by ITU-T Study Group 16 at its meeting in Ljubljana, Slovenia, 9-20 July 2018.
The FG scope and general process are 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).
In addition to
working groups and
topic groups, the
new FG-AI4H Ad-hoc Group on “Digital Technologies for COVID Health Emergencies” (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.
Terms of reference Parent group > ITU-T Study Group 16
Topic Groups:
Topic groups (TGs) investigate use cases within specific health domains with corresponding AI/ML tasks. Currently there are 13 active groups and seven groups starting their activities.
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Key current output documents:
- FG-AI4H Whitepaper
-
J-102: Updated call for proposals: use cases, benchmarking, and data
-
F-103: Updated FG-AI4H data acceptance and handling policy
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C-104: Thematic classification scheme
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F-105: ToRs for the WG-Experts and call for experts
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F-106: Guidelines on FG-AI4H online collaboration tools
-
J-107: Onboarding FG-AI4H document
-
J-200-R1: Updated list of FG-AI4H deliverables
- AHG-DT4HE Output 1: Guidance on digital technologies for COVID health emergency New
To receive
updates and announcements related to this group, please
subscribe to the FG-AI4H mailing list (see the "FG-AI4H Mailing lists" tab on the right of this page).