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ITU Translate identifies and applies the best tools available for each language pair to translate general language webpages not currently available in the six official ITU languages. It uses innovative technologies to ensure high quality gist translation services to complement the reach of the work carried out by ITU’s human translation service. This is in line with Plenipotentiary Resolution 154 on the use of the six official languages of the Union on an equal footing. For any questions or comments, please contact us at LING-IT-support@itu.int.
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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). Learn more about the FG and how to get involved in the
onboarding document.
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 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 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 > 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.
Key current output documents
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FG-AI4H Whitepaper
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O-102: Updated call for proposals: use cases, benchmarking, and data
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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
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M-107: Onboarding FG-AI4H document
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M-200: Updated list of FG-AI4H deliverables
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TG-Dental Output 1: Artificial intelligence in dental research: A checklist for authors and reviewers
new
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AHG-DT4HE Output 1: Guidance on digital technologies for COVID health emergency
To receive
updates and announcements, please
subscribe to the FG-AI4H mailing list (see the "Participating" tab on the right of this page).
