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<p class="MsoNormal"><span lang="EN-US" style="color:black">To Whom It May Concern:<o:p></o:p></span></p>
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<span lang="EN-US" style="color:black"> <o:p></o:p></span></p>
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<span lang="EN-US" style="color:black">I am writing on behalf of the Focus Group on “Artificial Intelligence for Health” (</span><span class="MsoHyperlink"><span lang="EN-US" style="color:#0563C1"><a href="https://www.itu.int/en/ITU-T/focusgroups/ai4h/Pages/default.aspx"><span style="color:#954F72">FG-AI4H</span></a></span></span><span lang="EN-US" style="color:black">).
With this email, I would like to inform you of our activities. Furthermore, I would like to invite you and your colleagues to become involved in this important project.<o:p></o:p></span></p>
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<span lang="EN-US" style="color:black"> <o:p></o:p></span></p>
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<span lang="EN-US" style="color:black">Please mark your calendar for our upcoming workshop/meetings:<span class="apple-converted-space"> </span><b>22–25 January 2019</b><span class="apple-converted-space"> </span>at the Swiss Tech Convention Center in Lausanne,
Switzerland (details and registration can be found<span class="apple-converted-space"> </span></span><span class="MsoHyperlink"><span lang="EN-US" style="color:#0563C1"><a href="https://www.itu.int/en/ITU-T/Workshops-and-Seminars/ai4h/20190122/Pages/default.aspx"><span style="color:#954F72">here</span></a></span></span><span lang="EN-US" style="color:black">);
and<span class="apple-converted-space"> </span><b>2–5 April 2019</b><span class="apple-converted-space"> </span>in Shanghai, China.<o:p></o:p></span></p>
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<span lang="EN-US" style="color:black"> <o:p></o:p></span></p>
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<span lang="EN-US" style="color:black">As you may be aware, “big data” and powerful artificial intelligence (AI) algorithms promise to revolutionize healthcare and research. However, while AI algorithms can assist with many tasks in health including diagnosis,
decision-making, or early detection, these algorithms are highly complex and depend on the underlying training data. When AI algorithms are poorly designed and/or the training data are biased or incomplete, errors or problematic results can occur. Therefore,
an AI algorithm should only be used with high confidence if it has been quality controlled through a rigorous evaluation against a system of standards.<o:p></o:p></span></p>
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<span lang="EN-US" style="color:black"> <o:p></o:p></span></p>
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<span lang="EN-US" style="color:black">Towards developing such standards, the International Telecommunication Union (ITU) established FG-AI4H in partnership with the World Health Organization (WHO). ITU and WHO have considerable experience in the standardization
of information/communication technologies and the health domain, respectively, making FG-AI4H ideally positioned for establishing a standard assessment framework of AI for health.<o:p></o:p></span></p>
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<span lang="EN-US" style="color:black"> <o:p></o:p></span></p>
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<span lang="EN-US" style="color:black">The process is as follows. Iterant<span class="apple-converted-space"> </span><i>Calls for proposals: use cases and data</i><span class="apple-converted-space"> </span>are published (“use cases” refers to medical conditions
that can be diagnosed with AI and for which medical data are available). The current version can be found<span class="apple-converted-space"> </span><a href="https://www.itu.int/en/ITU-T/focusgroups/ai4h/Documents/FGAI4H-B-102-DraftCfP_UC_Benchm_Data.pdf"><span style="color:#954F72">here</span></a>.
The resulting proposals are presented and evaluated at the workshop/meetings. During the previous workshop/meeting, eight use cases were accepted by FG-AI4H. The press release, including the details of the use cases, can be found<span class="apple-converted-space"> </span></span><span class="MsoHyperlink"><span lang="EN-US" style="color:#0563C1"><a href="https://news.itu.int/artificial-intelligence-health-new-use-cases/"><span style="color:#954F72">here</span></a></span></span><span lang="EN-US" style="color:black">.
In the next phase of the project, training data from these use cases are made available to AI developers. Then, iterant<span class="apple-converted-space"> </span><i>Calls for AI technology for health</i><span class="apple-converted-space"> </span>are published.
These AI applications are tested using confidential data from the respective use cases.<o:p></o:p></span></p>
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<span lang="EN-US" style="color:black"> <o:p></o:p></span></p>
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<span lang="EN-US" style="color:black">As you can infer, the success of this project depends on active participation of the medical, machine learning, and regulatory communities. Therefore, I hope that you will visit the above links, consider the importance
of this project, and become involved.<o:p></o:p></span></p>
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<span lang="EN-US" style="color:black"> <o:p></o:p></span></p>
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<span lang="EN-US" style="color:black">Best wishes,</span><span style="color:black"><o:p></o:p></span></p>
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<span style="color:black"> <o:p></o:p></span></p>
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<span style="color:black">Monique Kuglitsch<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt">-- <o:p></o:p></span></p>
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<p class="MsoNormal"><span style="font-size:11.0pt">Dr. Monique M. Kuglitsch<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt">Innovation Manager<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt">Fraunhofer Institute for Telecommunications,
<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt">Heinrich Hertz Institute, HHI<o:p></o:p></span></p>
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<p class="MsoNormal"><span style="font-size:11.0pt">Berlin, Germany</span><o:p></o:p></p>
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