Page 24 - Shaping ethics, regulation and standardization in AI for health

Shaping ethics, regulation and standardization in AI for health

As a final note, the FG-AI4H results would not have been possible without the two grants
provided by Fondation Botnar that allowed in particular the organization of meetings with
participation from LMICs and the development of the Open Code Initiative platform.

References

[1] FG-AI4H deliverables overview, https:// itu .int/ go/ fgai4h/ deliverables (visited 2025-05-06)
[2] ITU-T FG-AI4H, FG-AI4H approved deliverables, April 2024. Published as SG16-TD203/
Plen (ITU account needed)
[3] Luis Oala et al, Machine Learning for Health: Algorithm Auditing & Quality Control. J Med
Syst. 2021 Nov 2;45(12):105. PMID: 34729675; PMCID: PMC8562935. https:// doi .org/ 10
.1007/ s10916 -021 -01783 -y
[4] Wiegand, T. et al. (2020), Whitepaper for the ITU/WHO Focus Group on Artificial
Intelligence for Health. https:// tu .int/ en/ ITU -T/ focusgroups/ ai4h/ Documents/ FG -AI4H
i
_Whitepaper .pdf (visited 2025-05-06)
[5] Liu, X., Glocker, B., McCradden, M. M., Ghassemi, M., Denniston, A. K., and Oakden-Rayner,
L. (2022), The medical algorithmic audit. The Lancet Digital Health, 4(5), E384-E397.
https:// doi .org/ 10 .1016/ S2589 -7500(22)00003 -6
[6] Wiegand, Thomas et al., WHO and ITU establish benchmarking process for artificial
intelligence in health. The Lancet, Volume 394, Issue 10192, 9-11. https:// doi .org/ 10 .1016/
S0140 -6736(19)30762 -7
[7] Jose Albites-Sanabria et al., Fall risk stratification of community-living older people. ITU/
WHO FG-AI4H TG-Falls commentary on the world guidelines for fall prevention and
management, Age and Ageing, Volume 52, Issue 10, October 2023, afad162, https:// doi
.org/ 10 .1093/ ageing/ afad162
[8] FG-AI4H DEL5.3 (2023), Deliverable 5.3, Data annotation specification. https:// handle .itu
.int/ 11 .1002/ pub/ 822b7190 -en

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