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 (TGs) investigate use cases within specific health domains with corresponding AI/ML tasks. Currently there are 21 active groups and seven groups starting their activities.
Open Code Initiative:
The Open Code Initiative is implementing the digital building blocks (six software packages) that compose the
FG-AI4H Assessment Platform. The assessment platform, which can be distinguished from AI “challenge” platforms through its consideration of regulatory guidelines and the needs of other AI for health stakeholders, supports the end-to-end assessment of AI for health algorithms.
More > Terms of reference | Wiki site
Key current output documents:
- K-102: Updated call for proposals: use cases, benchmarking, and data
F-103: Updated FG-AI4H data acceptance and handling policy
C-104: Thematic classification scheme
F-105: ToRs for the WG-Experts and call for experts
F-106: Guidelines on FG-AI4H online collaboration tools
J-107: Onboarding FG-AI4H document
- K-200: Updated list of FG-AI4H deliverables
AHG-DT4HE Output 1: Guidance on digital technologies for COVID health emergency
updates and announcements
related to this group, please
to the FG-AI4H mailing list (see the "FG-AI4H Mailing lists" tab on the right of this page).