FG-AI4H
The ITU-T Focus Group on Artificial Intelligence for Health (AI4H) was established by ITU-T Study Group 16 at its meeting in Ljubljana, Slovenia, 9-20 July 2018. The Focus Group will work 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.
Terms of reference Parent group > ITU-T Study Group 16
Highlights from the 2nd meeting (Columbia University, New York City, 14-16 Nov. 2018):
- 2nd ITU/WHO workshop on AI for health
- Activity launched on assessment and statistical characterization of undisclosed test data sets
- Eight projects were adopted for initial feasibility analysis:
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Assessing the risk of breast cancer in histopathological images
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Mining medical data to understand Alzheimer’s disease
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Guiding anti-venom selection with snake-identification imagery analysis
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Classifying autism through analysis of brain imagery
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Evaluating the accuracy of "symptom checker" applications
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Diagnosing skin lesions through imagery analysis
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Evaluating and reducing the elderly’s risk of falling
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Analysing imagery to detect diabetic retinopathy and prevent vision loss
Key
output documents:
- FG-AI4H Whitepaper
- B-102: Updated call for Proposals: use cases, benchmarking, and data
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B-103: Updated criteria for data to be accepted by the Focus Group
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B-104: Updated thematic classification scheme
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B-105: Draft FG-AI4H data handling policy
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).
