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      <title>AI Technology Applied in the Medical Field by yulia Chen</title>
      <link>https://padlet.com/ccj950824/vehpmzjdec7g</link>
      <description>Artificial Intelligence has been broad applied in the medical field, which helps to improve the future medical system</description>
      <language>en-us</language>
      <pubDate>2018-02-12 14:01:16 UTC</pubDate>
      <lastBuildDate>2024-05-31 05:11:34 UTC</lastBuildDate>
      <webMaster>hello@padlet.com</webMaster>
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         <title>AI in CT Image Analysis</title>
         <author>ccj950824</author>
         <link>https://padlet.com/ccj950824/vehpmzjdec7g/wish/230587613</link>
         <description><![CDATA[<div>Smutek. D., Shimizu. S., Tesar. L., Kobatake. H., &amp;  <br>         Nawano. S. (2006) “Artificial Intelligence  <br>         Methods Application in Liver Diseases <br>         Classification from CT Images”. <em>In 6</em><em><sup>th</sup></em><em> <br>          International Workshop on Pattern <br>          Recognition in Information Systems, pages <br>          146-155. </em>Retrieved from DOI: <br>          10.5220/0002444701460115. <br><br>1. A new technology applied in the existing CAD system helps to  increase the accuracy of automatically classifying Liver diseases.  <br>2. Database large enough Data from 20 adult subjects and 535 CT scans.<br>3. Results succinct show the accuracy of the technology applied into automatically classifying other type of liver diseases.</div>]]></description>
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         <pubDate>2018-02-12 14:09:34 UTC</pubDate>
         <guid>https://padlet.com/ccj950824/vehpmzjdec7g/wish/230587613</guid>
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         <title>AI in wearable devices</title>
         <author>ccj950824</author>
         <link>https://padlet.com/ccj950824/vehpmzjdec7g/wish/230593243</link>
         <description><![CDATA[<div>Sannino, G., De Falco,I., &amp; De Pietro, G. (2015). Genetic   <br>       Programming for a Wearable Approach to Estimate <br>       Blood Pressure embedded in a Mobile-based Health <br>       System. <em>2015 IEEE 27</em><em><sup>th</sup></em><em> International Conference on <br>       Tools with Artificial Intelligence. </em>Retrieved from DOI  <br>       10.1109/ICTAI.2015.115<br><br>1. Introduce non-invasive wearable devices into the medical  BP measuring system.<br>2. Collect the data from patients then compare the result they analyzed with invasive devices (only from four patients)<br>3. Result indicates that the wearable device needs further experiments to show their accuracy. (need more volunteer patients for their research)</div>]]></description>
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         <pubDate>2018-02-12 14:18:58 UTC</pubDate>
         <guid>https://padlet.com/ccj950824/vehpmzjdec7g/wish/230593243</guid>
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      <item>
         <title>Overlap</title>
         <author>ccj950824</author>
         <link>https://padlet.com/ccj950824/vehpmzjdec7g/wish/231476091</link>
         <description><![CDATA[<div>1.Medical detecting system. Both introduce new technology into the existing  system, helps to ameliorate the accuracy of the system.<br>2. Methodology.  Similar experimenting process.<br><br>3. Both technologies work well, can be applied into the future medical treatment system - especially the E-health system .</div>]]></description>
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         <pubDate>2018-02-14 13:50:53 UTC</pubDate>
         <guid>https://padlet.com/ccj950824/vehpmzjdec7g/wish/231476091</guid>
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