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<oembed><version>1.0</version><provider_name>Microsoft Research</provider_name><provider_url>https://www.microsoft.com/en-us/research</provider_url><author_name>Clare Morgan</author_name><author_url>https://www.microsoft.com/en-us/research/people/clmorgan/</author_url><title>Algorithms as medical devices - Microsoft Research</title><type>rich</type><width>600</width><height>338</height><html>&lt;blockquote class="wp-embedded-content" data-secret="O9FZiQP18d"&gt;&lt;a href="https://www.microsoft.com/en-us/research/publication/algorithms-as-medical-devices/"&gt;Algorithms as medical devices&lt;/a&gt;&lt;/blockquote&gt;&lt;iframe sandbox="allow-scripts" security="restricted" src="https://www.microsoft.com/en-us/research/publication/algorithms-as-medical-devices/embed/#?secret=O9FZiQP18d" width="600" height="338" title="&#x201C;Algorithms as medical devices&#x201D; &#x2014; Microsoft Research" data-secret="O9FZiQP18d" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"&gt;&lt;/iframe&gt;&lt;script type="text/javascript"&gt;
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</html><description>From wearables for health monitoring and self-care apps, to machine learning analysis of medical images, the potential of digital technologies to revolutionise healthcare has commanded many headlines. Realising the medical benefits of such technologies needs appropriate regulation. In reality, identifying where a device fits within the complex and evolving regulatory environment is far from simple. [&hellip;]</description></oembed>
