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    <title>Deep Dive into Digital Medicine (English)</title>
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    <description><![CDATA[<p>A series of narrative-driven episodes exploring digital medicine with researchers from the Fraunhofer Institute for Digital Medicine MEVIS.</p>]]></description>
    <pubDate>Tue, 10 Mar 2026 08:18:33 +0100</pubDate>
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    <language>en</language>
    <spotify:countryOfOrigin>de</spotify:countryOfOrigin>
    <copyright>Copyright 2021 All rights reserved.</copyright>
    <category>Science</category>
    <ttl>1440</ttl>
    <itunes:type>episodic</itunes:type>
          <itunes:summary></itunes:summary>
        <itunes:author>Fraunhofer MEVIS</itunes:author>
<itunes:category text="Science" />
    <itunes:owner>
        <itunes:name>Fraunhofer MEVIS</itunes:name>
            </itunes:owner>
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        <title>Deep Dive into Digital Medicine (English)</title>
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    <item>
        <title>Glass Art Meets MRI</title>
        <itunes:title>Glass Art Meets MRI</itunes:title>
        <link>https://fraunhofermevis.podbean.com/e/glass-art-meets-mri/</link>
                    <comments>https://fraunhofermevis.podbean.com/e/glass-art-meets-mri/#comments</comments>        <pubDate>Tue, 10 Mar 2026 08:18:33 +0100</pubDate>
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                                    <description><![CDATA[<p>Fraunhofer MEVIS STEAM Imaging Residency Culminates in Interactive Exhibition at Edinburgh Science Festival
How can complex physical processes be made visible and tangible? It was this question that British glass artist Gregory Alliss explored last November during the art residency “STEAM Imaging VI.” The residency, hosted by Fraunhofer Institute for Digital Medicine MEVIS in collaboration with the Institute for Design Informatics at the University of Edinburgh, took place at the research institute in Bremen—providing Alliss with the opportunity to integrate science and art in a truly unique way.</p>
<p><a href='https://www.mevis.fraunhofer.de/en/press-and-scicom/press-release/2026/glass-art--making-mri-tangible.html'>Read More</a></p>
]]></description>
                                                            <content:encoded><![CDATA[<p>Fraunhofer MEVIS STEAM Imaging Residency Culminates in Interactive Exhibition at Edinburgh Science Festival<br>
How can complex physical processes be made visible and tangible? It was this question that British glass artist Gregory Alliss explored last November during the art residency “STEAM Imaging VI.” The residency, hosted by Fraunhofer Institute for Digital Medicine MEVIS in collaboration with the Institute for Design Informatics at the University of Edinburgh, took place at the research institute in Bremen—providing Alliss with the opportunity to integrate science and art in a truly unique way.</p>
<p><a href='https://www.mevis.fraunhofer.de/en/press-and-scicom/press-release/2026/glass-art--making-mri-tangible.html'>Read More</a></p>
]]></content:encoded>
                                    
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        <itunes:summary><![CDATA[Fraunhofer MEVIS STEAM Imaging Residency Culminates in Interactive Exhibition at Edinburgh Science FestivalHow can complex physical processes be made visible and tangible? It was this question that British glass artist Gregory Alliss explored last November during the art residency “STEAM Imaging VI.” The residency, hosted by Fraunhofer Institute for Digital Medicine MEVIS in collaboration with the Institute for Design Informatics at the University of Edinburgh, took place at the research institute in Bremen—providing Alliss with the opportunity to integrate science and art in a truly unique way.
Read More]]></itunes:summary>
        <itunes:author>Fraunhofer MEVIS</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>780</itunes:duration>
                <itunes:episode>20</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
        <itunes:image href="https://pbcdn1.podbean.com/imglogo/ep-logo/pbblog11471783/Lenses_2026_Copyright_Gregory_Allissa1egu.jpg" />    </item>
    <item>
        <title>Swiss Army knife for medical image data</title>
        <itunes:title>Swiss Army knife for medical image data</itunes:title>
        <link>https://fraunhofermevis.podbean.com/e/swiss-army-knife-for-medical-image-data/</link>
                    <comments>https://fraunhofermevis.podbean.com/e/swiss-army-knife-for-medical-image-data/#comments</comments>        <pubDate>Thu, 20 Nov 2025 15:03:40 +0100</pubDate>
        <guid isPermaLink="false">fraunhofermevis.podbean.com/818d1527-e1ca-3861-a148-62bd0d725b15</guid>
                                    <description><![CDATA[<p>How the collaborative software platform CuraMate helps accelerate research and development of AI models  </p>
<p>CuraMate is a toolkit for processing medical image data – from CT to MRI to ultrasound. What makes the platform developed by Fraunhofer MEVIS so special is that it facilitates collaboration between multiple users: Researchers, clinicians, and pharmaceutical companies can work together to highlight structures in medical images, track changes, and train AI models. </p>
<p><a href='https://www.mevis.fraunhofer.de/en/portfolio/solutions/curamate.html'>Read More</a></p>
]]></description>
                                                            <content:encoded><![CDATA[<p>How the collaborative software platform CuraMate helps accelerate research and development of AI models  </p>
<p>CuraMate is a toolkit for processing medical image data – from CT to MRI to ultrasound. What makes the platform developed by Fraunhofer MEVIS so special is that it facilitates collaboration between multiple users: Researchers, clinicians, and pharmaceutical companies can work together to highlight structures in medical images, track changes, and train AI models. </p>
<p><a href='https://www.mevis.fraunhofer.de/en/portfolio/solutions/curamate.html'>Read More</a></p>
]]></content:encoded>
                                    
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        <itunes:summary><![CDATA[How the collaborative software platform CuraMate helps accelerate research and development of AI models  
CuraMate is a toolkit for processing medical image data – from CT to MRI to ultrasound. What makes the platform developed by Fraunhofer MEVIS so special is that it facilitates collaboration between multiple users: Researchers, clinicians, and pharmaceutical companies can work together to highlight structures in medical images, track changes, and train AI models. 
Read More]]></itunes:summary>
        <itunes:author>Fraunhofer MEVIS</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>456</itunes:duration>
                <itunes:episode>19</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
        <itunes:image href="https://pbcdn1.podbean.com/imglogo/ep-logo/pbblog11471783/CuraMateLogo_only-icon.png" />    </item>
    <item>
        <title>A Glimpse into Tomorrow's Medicine</title>
        <itunes:title>A Glimpse into Tomorrow's Medicine</itunes:title>
        <link>https://fraunhofermevis.podbean.com/e/a-glimpse-into-tomorrows-medicine/</link>
                    <comments>https://fraunhofermevis.podbean.com/e/a-glimpse-into-tomorrows-medicine/#comments</comments>        <pubDate>Tue, 30 Sep 2025 16:45:22 +0200</pubDate>
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                                    <description><![CDATA[<p>Listen to experts from our 30 years anniversary celebration as they share how AI tools could transform diagnosis and tailor therapies.</p>
<p><a href='https://www.mevis.fraunhofer.de/en/press-and-scicom/press-release/2025/three-decades-of-digital-medicine-from-bremen.html'>Read More</a></p>
]]></description>
                                                            <content:encoded><![CDATA[<p>Listen to experts from our 30 years anniversary celebration as they share how AI tools could transform diagnosis and tailor therapies.</p>
<p><a href='https://www.mevis.fraunhofer.de/en/press-and-scicom/press-release/2025/three-decades-of-digital-medicine-from-bremen.html'>Read More</a></p>
]]></content:encoded>
                                    
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        <itunes:summary><![CDATA[Listen to experts from our 30 years anniversary celebration as they share how AI tools could transform diagnosis and tailor therapies.
Read More]]></itunes:summary>
        <itunes:author>Fraunhofer MEVIS</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>739</itunes:duration>
                <itunes:episode>18</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
        <itunes:image href="https://pbcdn1.podbean.com/imglogo/ep-logo/pbblog11471783/FME05724.jpg" />    </item>
    <item>
        <title>30 years Fraunhofer MEVIS – Thinking medicine digitally</title>
        <itunes:title>30 years Fraunhofer MEVIS – Thinking medicine digitally</itunes:title>
        <link>https://fraunhofermevis.podbean.com/e/30-years-fraunhofer-mevis-%e2%80%93-thinking-medicine-digitally/</link>
                    <comments>https://fraunhofermevis.podbean.com/e/30-years-fraunhofer-mevis-%e2%80%93-thinking-medicine-digitally/#comments</comments>        <pubDate>Mon, 01 Sep 2025 17:04:20 +0200</pubDate>
        <guid isPermaLink="false">fraunhofermevis.podbean.com/49edd265-12b1-3f88-b4f1-309207708478</guid>
                                    <description><![CDATA[<p>In the podcast 30 Years of Fraunhofer MEVIS – Rethinking Digital Medicine, Institute Director Prof. Horst Hahn talks about the beginnings, successes, and future visions of the Fraunhofer-Institute for Digital Medicine MEVIS.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>In the podcast <em>30 Years of Fraunhofer MEVIS – Rethinking Digital Medicine</em>, Institute Director Prof. Horst Hahn talks about the beginnings, successes, and future visions of the Fraunhofer-Institute for Digital Medicine MEVIS.</p>
]]></content:encoded>
                                    
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        <itunes:summary><![CDATA[In the podcast 30 Years of Fraunhofer MEVIS – Rethinking Digital Medicine, Institute Director Prof. Horst Hahn talks about the beginnings, successes, and future visions of the Fraunhofer-Institute for Digital Medicine MEVIS.]]></itunes:summary>
        <itunes:author>Fraunhofer MEVIS</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>443</itunes:duration>
                <itunes:episode>17</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
        <itunes:image href="https://pbcdn1.podbean.com/imglogo/ep-logo/pbblog11471783/mevis-230717-58-web_anonym_edited_26rss5.jpg" />    </item>
    <item>
        <title>Breaking New Ground in MRI Imaging: Simplifying Access with Innovative Tech</title>
        <itunes:title>Breaking New Ground in MRI Imaging: Simplifying Access with Innovative Tech</itunes:title>
        <link>https://fraunhofermevis.podbean.com/e/breaking-new-ground-in-mri-imaging-simplifying-access-with-innovative-tech/</link>
                    <comments>https://fraunhofermevis.podbean.com/e/breaking-new-ground-in-mri-imaging-simplifying-access-with-innovative-tech/#comments</comments>        <pubDate>Tue, 04 Feb 2025 10:24:23 +0100</pubDate>
        <guid isPermaLink="false">fraunhofermevis.podbean.com/80bddcce-e972-35f9-9ce8-7f2d0beaba5c</guid>
                                    <description><![CDATA[<p>The audio report explains how MRI sequence development can be made more accessible and user-friendly for researchers, healthcare professionals, and students alike.</p>
<p><a href='https://www.mevis.fraunhofer.de/en/press-and-scicom/institute-news/2024/the-mr-scanner-as-a-tabletop-device.html'>More information</a></p>
]]></description>
                                                            <content:encoded><![CDATA[<p>The audio report explains how MRI sequence development can be made more accessible and user-friendly for researchers, healthcare professionals, and students alike.</p>
<p><a href='https://www.mevis.fraunhofer.de/en/press-and-scicom/institute-news/2024/the-mr-scanner-as-a-tabletop-device.html'>More information</a></p>
]]></content:encoded>
                                    
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        <itunes:summary><![CDATA[The audio report explains how MRI sequence development can be made more accessible and user-friendly for researchers, healthcare professionals, and students alike.
More information]]></itunes:summary>
        <itunes:author>Fraunhofer MEVIS</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>704</itunes:duration>
                <itunes:episode>15</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
        <itunes:image href="https://pbcdn1.podbean.com/imglogo/ep-logo/pbblog11471783/Mini-MR.jpg" />    </item>
    <item>
        <title>Today’s School for Tomorrow’s Healthcare</title>
        <itunes:title>Today’s School for Tomorrow’s Healthcare</itunes:title>
        <link>https://fraunhofermevis.podbean.com/e/school/</link>
                    <comments>https://fraunhofermevis.podbean.com/e/school/#comments</comments>        <pubDate>Tue, 21 Jan 2025 13:39:54 +0100</pubDate>
        <guid isPermaLink="false">fraunhofermevis.podbean.com/7ad0e90a-abb7-349c-941f-4374943ecf25</guid>
                                    <description><![CDATA[<p>In the 2025/26 school year, the new upper secondary specialization called “Digital Medicine” will launch in Bremen, developed by Fraunhofer MEVIS and the Oberschule am Waller Ring. </p>
<p><a href='https://www.mevis.fraunhofer.de/en/press-and-scicom/press-release/2024/todays-school-for-tomorrows-healthcare.html'>Read More</a></p>
]]></description>
                                                            <content:encoded><![CDATA[<p>In the 2025/26 school year, the new upper secondary specialization called “Digital Medicine” will launch in Bremen, developed by Fraunhofer MEVIS and the Oberschule am Waller Ring. </p>
<p><a href='https://www.mevis.fraunhofer.de/en/press-and-scicom/press-release/2024/todays-school-for-tomorrows-healthcare.html'>Read More</a></p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/sdt6kunsqa2e4z95/Digitale_Medizin_at_School_enga1bmf.mp3" length="15955308" type="audio/mpeg"/>
        <itunes:summary><![CDATA[In the 2025/26 school year, the new upper secondary specialization called “Digital Medicine” will launch in Bremen, developed by Fraunhofer MEVIS and the Oberschule am Waller Ring. 
Read More]]></itunes:summary>
        <itunes:author>Fraunhofer MEVIS</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>498</itunes:duration>
                <itunes:episode>14</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
        <itunes:image href="https://pbcdn1.podbean.com/imglogo/ep-logo/pbblog11471783/Screenshot_2025-11-20_at_214340_jeg4vp.png" />    </item>
    <item>
        <title>“The BOX Will See You Now”: An Interactive Artwork Exploring the Influence of AI in Medical Diagnostics</title>
        <itunes:title>“The BOX Will See You Now”: An Interactive Artwork Exploring the Influence of AI in Medical Diagnostics</itunes:title>
        <link>https://fraunhofermevis.podbean.com/e/the-box-will-see-you-now-an-interactive-artwork-exploring-the-influence-of-ai-in-medical-diagnostics/</link>
                    <comments>https://fraunhofermevis.podbean.com/e/the-box-will-see-you-now-an-interactive-artwork-exploring-the-influence-of-ai-in-medical-diagnostics/#comments</comments>        <pubDate>Mon, 25 Mar 2024 14:26:30 +0100</pubDate>
        <guid isPermaLink="false">fraunhofermevis.podbean.com/e0f3d8ce-b6ac-3dc0-98ee-47788a9bf450</guid>
                                    <description><![CDATA[<p>The BOX by Fiona Smith is an interactive installation that explores the “black box” aspect of AI technology, posing the question: If we feed AI with incomplete or biased data – can we then expect it to make reasonable suggestions?</p>
<p>Scottish artist, scientist, and physician Fiona Smith visited Fraunhofer MEVIS in Bremen to develop an interactive art installation as part of the “STEAM Imaging V” residency program. With the theme “Holding the ‘Digital’ in Medicine to Account,” participants aim to look beyond the promises of new technological developments and data-driven tools. The goal is also to help prospective students gain a critical understanding of AI-driven applications in the healthcare sector, which increasingly permeates the interaction of all participants in the development process.</p>
<p><a href='https://s.fhg.de/F2Jm'>Read More</a>

</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>The BOX by Fiona Smith is an interactive installation that explores the “black box” aspect of AI technology, posing the question: If we feed AI with incomplete or biased data – can we then expect it to make reasonable suggestions?</p>
<p>Scottish artist, scientist, and physician Fiona Smith visited Fraunhofer MEVIS in Bremen to develop an interactive art installation as part of the “STEAM Imaging V” residency program. With the theme “Holding the ‘Digital’ in Medicine to Account,” participants aim to look beyond the promises of new technological developments and data-driven tools. The goal is also to help prospective students gain a critical understanding of AI-driven applications in the healthcare sector, which increasingly permeates the interaction of all participants in the development process.</p>
<p><a href='https://s.fhg.de/F2Jm'>Read More</a><br>
<br>
</p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/tkba59/The-BOX-Will-See-You-Now.mp3" length="13596433" type="audio/mpeg"/>
        <itunes:summary><![CDATA[The BOX by Fiona Smith is an interactive installation that explores the “black box” aspect of AI technology, posing the question: If we feed AI with incomplete or biased data – can we then expect it to make reasonable suggestions?
Scottish artist, scientist, and physician Fiona Smith visited Fraunhofer MEVIS in Bremen to develop an interactive art installation as part of the “STEAM Imaging V” residency program. With the theme “Holding the ‘Digital’ in Medicine to Account,” participants aim to look beyond the promises of new technological developments and data-driven tools. The goal is also to help prospective students gain a critical understanding of AI-driven applications in the healthcare sector, which increasingly permeates the interaction of all participants in the development process.
Read More]]></itunes:summary>
        <itunes:author>Fraunhofer MEVIS</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>424</itunes:duration>
                <itunes:episode>13</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
        <itunes:image href="https://pbcdn1.podbean.com/imglogo/ep-logo/pbblog11471783/THE-BOX.png" />    </item>
    <item>
        <title>KI for multicentric studies and precise tumor therapies</title>
        <itunes:title>KI for multicentric studies and precise tumor therapies</itunes:title>
        <link>https://fraunhofermevis.podbean.com/e/ki-for-multicentric-studies-and-precise-tumor-therapies/</link>
                    <comments>https://fraunhofermevis.podbean.com/e/ki-for-multicentric-studies-and-precise-tumor-therapies/#comments</comments>        <pubDate>Fri, 17 Nov 2023 11:56:49 +0100</pubDate>
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                                    <description><![CDATA[]]></description>
                                                            <content:encoded><![CDATA[]]></content:encoded>
                                    
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        <itunes:summary><![CDATA[]]></itunes:summary>
        <itunes:author>Fraunhofer MEVIS</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>487</itunes:duration>
                <itunes:episode>12</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>A complete package for minimally invasive tumor therapy</title>
        <itunes:title>A complete package for minimally invasive tumor therapy</itunes:title>
        <link>https://fraunhofermevis.podbean.com/e/a-complete-package-for-minimally-invasive-tumor-therapy/</link>
                    <comments>https://fraunhofermevis.podbean.com/e/a-complete-package-for-minimally-invasive-tumor-therapy/#comments</comments>        <pubDate>Mon, 19 Dec 2022 15:42:07 +0100</pubDate>
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                                    <description><![CDATA[<p>License agreement and joint development: Fraunhofer MEVIS commences cooperation with Israeli partner for worldwide use of innovative software technology in ultrasound-aided tumor ablation.
Read More: <a href='https://s.fhg.de/wu8'>https://s.fhg.de/wu8</a></p>
]]></description>
                                                            <content:encoded><![CDATA[<p>License agreement and joint development: Fraunhofer MEVIS commences cooperation with Israeli partner for worldwide use of innovative software technology in ultrasound-aided tumor ablation.<br>
Read More: <a href='https://s.fhg.de/wu8'>https://s.fhg.de/wu8</a></p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/jm7kv7/TechsoMedPodcastENG.mp3" length="14113298" type="audio/mpeg"/>
        <itunes:summary><![CDATA[License agreement and joint development: Fraunhofer MEVIS commences cooperation with Israeli partner for worldwide use of innovative software technology in ultrasound-aided tumor ablation.Read More: https://s.fhg.de/wu8]]></itunes:summary>
        <itunes:author>Fraunhofer MEVIS</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>441</itunes:duration>
                <itunes:episode>11</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
        <itunes:image href="https://pbcdn1.podbean.com/imglogo/ep-logo/pbblog11471783/Bio_Trace_IO_small_ge3ctf.jpg" />    </item>
    <item>
        <title>Into the MRI Tube for Art’s Sake</title>
        <itunes:title>Into the MRI Tube for Art’s Sake</itunes:title>
        <link>https://fraunhofermevis.podbean.com/e/into-the-mri-tube-for-arts-sake-on-the-artwork-intrabeing/</link>
                    <comments>https://fraunhofermevis.podbean.com/e/into-the-mri-tube-for-arts-sake-on-the-artwork-intrabeing/#comments</comments>        <pubDate>Mon, 09 Aug 2021 14:10:59 +0200</pubDate>
        <guid isPermaLink="false">fraunhofermevis.podbean.com/fdf4b567-1e41-310d-a4b5-a0a907cec93c</guid>
                                    <description><![CDATA[<p>During her stay at the artist residency program STEAM Imaging at Fraunhofer MEVIS, media artist Eli Joteva created a remarkable installation: To obtain the material for her digital artwork, the Bulgarian lay down in an MRI scanner for hours. The result: a digital installation called “IntraBeing.“ The starting point of the residency is to bring artists together with scientists and school students to transcend disciplinary boundaries, develop flexible forms of learning and collaboration, and teach skills to use new technologies effectively and critically.</p>
<p><a href='https://www.mevis.fraunhofer.de/en/r-and-d-engagement-and-science-communication/steam-imaging---an-experimental-artist-residency-/into-the-mri-tube-for-arts-sake.html'>Read More</a></p>
<p> </p>
]]></description>
                                                            <content:encoded><![CDATA[<p>During her stay at the artist residency program STEAM Imaging at Fraunhofer MEVIS, media artist Eli Joteva created a remarkable installation: To obtain the material for her digital artwork, the Bulgarian lay down in an MRI scanner for hours. The result: a digital installation called “IntraBeing.“ The starting point of the residency is to bring artists together with scientists and school students to transcend disciplinary boundaries, develop flexible forms of learning and collaboration, and teach skills to use new technologies effectively and critically.</p>
<p><a href='https://www.mevis.fraunhofer.de/en/r-and-d-engagement-and-science-communication/steam-imaging---an-experimental-artist-residency-/into-the-mri-tube-for-arts-sake.html'>Read More</a></p>
<p> </p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/m769ct/IntraBeing-STEAM-Imaging-Eli-Joteva-ENG.mp3" length="13360128" type="audio/mpeg"/>
        <itunes:summary><![CDATA[During her stay at the artist residency program STEAM Imaging at Fraunhofer MEVIS, media artist Eli Joteva created a remarkable installation: To obtain the material for her digital artwork, the Bulgarian lay down in an MRI scanner for hours. The result: a digital installation called “IntraBeing.“ The starting point of the residency is to bring artists together with scientists and school students to transcend disciplinary boundaries, develop flexible forms of learning and collaboration, and teach skills to use new technologies effectively and critically.
Read More
 ]]></itunes:summary>
        <itunes:author>Fraunhofer MEVIS</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>417</itunes:duration>
                <itunes:episode>10</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
        <itunes:image href="https://pbcdn1.podbean.com/imglogo/ep-logo/pbblog11471783/IntraBeingEliJoteva2021_9u3u87.jpg" />    </item>
    <item>
        <title>Precise Planning for Heart Surgery</title>
        <itunes:title>Precise Planning for Heart Surgery</itunes:title>
        <link>https://fraunhofermevis.podbean.com/e/precise-planning-for-heart-surgery/</link>
                    <comments>https://fraunhofermevis.podbean.com/e/precise-planning-for-heart-surgery/#comments</comments>        <pubDate>Fri, 07 May 2021 13:46:29 +0200</pubDate>
        <guid isPermaLink="false">fraunhofermevis.podbean.com/3609e2ad-050a-36b3-8384-9048c9137050</guid>
                                    <description><![CDATA[Heart valve operations are often very complex and have to be prepared with great precision. The Fraunhofer Institute for Digital Medicine MEVIS and the Charité are developing an assistance system that will ease planning interventions by using virtual reality. In the future, patients should also benefit from this new technology.
 
]]></description>
                                                            <content:encoded><![CDATA[Heart valve operations are often very complex and have to be prepared with great precision. The Fraunhofer Institute for Digital Medicine MEVIS and the Charité are developing an assistance system that will ease planning interventions by using virtual reality. In the future, patients should also benefit from this new technology.
 
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/abz2ef/BT4a_Podcast_englisch6iyi1.mp3" length="13801843" type="audio/mpeg"/>
        <itunes:summary><![CDATA[Heart valve operations are often very complex and have to be prepared with great precision. The Fraunhofer Institute for Digital Medicine MEVIS and the Charité are developing an assistance system that will ease planning interventions by using virtual reality. In the future, patients should also benefit from this new technology.
 
]]></itunes:summary>
        <itunes:author>Fraunhofer MEVIS</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>431</itunes:duration>
                        <itunes:episodeType>full</itunes:episodeType>
        <itunes:image href="https://pbcdn1.podbean.com/imglogo/ep-logo/pbblog11471783/ios_uploaded_episode_image_7508887B-9840-481F-AA67-098355F129FF.jpg" />    </item>
    <item>
        <title>Guidepost for the Best Choice of Treatment</title>
        <itunes:title>Guidepost for the Best Choice of Treatment</itunes:title>
        <link>https://fraunhofermevis.podbean.com/e/guidepost-for-the-best-choice-of-treatment/</link>
                    <comments>https://fraunhofermevis.podbean.com/e/guidepost-for-the-best-choice-of-treatment/#comments</comments>        <pubDate>Fri, 30 Apr 2021 15:00:00 +0200</pubDate>
        <guid isPermaLink="false">fraunhofermevis.podbean.com/5fba1dfc-c167-366c-881d-1e2da62c50be</guid>
                                    <description><![CDATA[<p>A diagnosis has been made. Now is the up to clinicians, alongside their patient, to find an appropriate treatment. However, as more and more treatment choices are becoming available, the most suitable one isn’t always the most obvious choice. The Fraunhofer Institute for Digital Medicine MEVIS is developing AI-based support systems to facilitate decision-making and pave the path towards finding the optimal treatment.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>A diagnosis has been made. Now is the up to clinicians, alongside their patient, to find an appropriate treatment. However, as more and more treatment choices are becoming available, the most suitable one isn’t always the most obvious choice. The Fraunhofer Institute for Digital Medicine MEVIS is developing AI-based support systems to facilitate decision-making and pave the path towards finding the optimal treatment.</p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/fa9tsv/BT1-CDS-englisch.mp3" length="9985893" type="audio/mpeg"/>
        <itunes:summary><![CDATA[A diagnosis has been made. Now is the up to clinicians, alongside their patient, to find an appropriate treatment. However, as more and more treatment choices are becoming available, the most suitable one isn’t always the most obvious choice. The Fraunhofer Institute for Digital Medicine MEVIS is developing AI-based support systems to facilitate decision-making and pave the path towards finding the optimal treatment.]]></itunes:summary>
        <itunes:author>Fraunhofer MEVIS</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>312</itunes:duration>
                <itunes:episode>7</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
        <itunes:image href="https://pbcdn1.podbean.com/imglogo/ep-logo/pbblog11471783/Visual-6-final-final.jpg" />    </item>
    <item>
        <title>Improving Indicators for Tumor Diagnosis</title>
        <itunes:title>Improving Indicators for Tumor Diagnosis</itunes:title>
        <link>https://fraunhofermevis.podbean.com/e/improving-indicators-for-tumor-diagnosis/</link>
                    <comments>https://fraunhofermevis.podbean.com/e/improving-indicators-for-tumor-diagnosis/#comments</comments>        <pubDate>Fri, 23 Apr 2021 10:41:23 +0200</pubDate>
        <guid isPermaLink="false">fraunhofermevis.podbean.com/873c7e94-8edf-37c4-9748-dd03aa5cb0e7</guid>
                                    <description><![CDATA[<p>Biomarkers are often indispensable for accurate diagnoses. The Fraunhofer Institute for Digital Medicine MEVIS is working on adaptive algorithms that make the search for new biomarkers much easier. This can provide physicians with valuable support in choosing the best possible therapy.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>Biomarkers are often indispensable for accurate diagnoses. The Fraunhofer Institute for Digital Medicine MEVIS is working on adaptive algorithms that make the search for new biomarkers much easier. This can provide physicians with valuable support in choosing the best possible therapy.</p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/aga3vh/BT7-Biomarkers-englisch.mp3" length="9340438" type="audio/mpeg"/>
        <itunes:summary><![CDATA[Biomarkers are often indispensable for accurate diagnoses. The Fraunhofer Institute for Digital Medicine MEVIS is working on adaptive algorithms that make the search for new biomarkers much easier. This can provide physicians with valuable support in choosing the best possible therapy.]]></itunes:summary>
        <itunes:author>Fraunhofer MEVIS</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>291</itunes:duration>
                <itunes:episode>6</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
        <itunes:image href="https://pbcdn1.podbean.com/imglogo/ep-logo/pbblog11471783/Visual-5-3-final.jpg" />    </item>
    <item>
        <title>Monitoring Tumor Therapy More Precisely</title>
        <itunes:title>Monitoring Tumor Therapy More Precisely</itunes:title>
        <link>https://fraunhofermevis.podbean.com/e/monitoring-tumor-therapy-more-precisely/</link>
                    <comments>https://fraunhofermevis.podbean.com/e/monitoring-tumor-therapy-more-precisely/#comments</comments>        <pubDate>Fri, 16 Apr 2021 09:39:55 +0200</pubDate>
        <guid isPermaLink="false">fraunhofermevis.podbean.com/819bbc0c-aa22-3e15-9faa-ce6507b25bad</guid>
                                    <description><![CDATA[<p>Cancer patients generally need to attend regular checkups, which help determine how the patient responds to a new treatment.  The Fraunhofer Institute for Digital Medicine MEVIS is working on a method supported by AI to carry out follow-up checkups more quickly and accurately.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>Cancer patients generally need to attend regular checkups, which help determine how the patient responds to a new treatment.  The Fraunhofer Institute for Digital Medicine MEVIS is working on a method supported by AI to carry out follow-up checkups more quickly and accurately.</p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/3zftwd/BT3-monitoring-englisch.mp3" length="8673273" type="audio/mpeg"/>
        <itunes:summary><![CDATA[Cancer patients generally need to attend regular checkups, which help determine how the patient responds to a new treatment.  The Fraunhofer Institute for Digital Medicine MEVIS is working on a method supported by AI to carry out follow-up checkups more quickly and accurately.]]></itunes:summary>
        <itunes:author>Fraunhofer MEVIS</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>271</itunes:duration>
                <itunes:episode>5</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
        <itunes:image href="https://pbcdn1.podbean.com/imglogo/ep-logo/pbblog11471783/RGB-jub-03-final.jpg" />    </item>
    <item>
        <title>AI Collaboration Toolkit: One Platform, Many Tools</title>
        <itunes:title>AI Collaboration Toolkit: One Platform, Many Tools</itunes:title>
        <link>https://fraunhofermevis.podbean.com/e/ai-collaboration-toolkit-one-platform-many-tools/</link>
                    <comments>https://fraunhofermevis.podbean.com/e/ai-collaboration-toolkit-one-platform-many-tools/#comments</comments>        <pubDate>Fri, 09 Apr 2021 09:15:44 +0200</pubDate>
        <guid isPermaLink="false">fraunhofermevis.podbean.com/bfad261c-b994-3d60-9acd-681dea57c77c</guid>
                                    <description><![CDATA[<p>Programming AI is a complicated process. Huge amounts of data need to be collected, reviewed, and evaluated. The Fraunhofer Institute for Digital Medicine MEVIS is developing a platform that integrates all key steps and eases collaboration between programmers and clinicians.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>Programming AI is a complicated process. Huge amounts of data need to be collected, reviewed, and evaluated. The Fraunhofer Institute for Digital Medicine MEVIS is developing a platform that integrates all key steps and eases collaboration between programmers and clinicians.</p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/p6rgup/BT2-Platform-englisch.mp3" length="9430618" type="audio/mpeg"/>
        <itunes:summary><![CDATA[Programming AI is a complicated process. Huge amounts of data need to be collected, reviewed, and evaluated. The Fraunhofer Institute for Digital Medicine MEVIS is developing a platform that integrates all key steps and eases collaboration between programmers and clinicians.]]></itunes:summary>
        <itunes:author>Fraunhofer MEVIS</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>294</itunes:duration>
                <itunes:episode>4</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
        <itunes:image href="https://pbcdn1.podbean.com/imglogo/ep-logo/pbblog11471783/RGB-jub-04-final.jpg" />    </item>
    <item>
        <title>Targeted Navigation and Precise Motion Control</title>
        <itunes:title>Targeted Navigation and Precise Motion Control</itunes:title>
        <link>https://fraunhofermevis.podbean.com/e/targeted-navigation-and-precise-motion-control/</link>
                    <comments>https://fraunhofermevis.podbean.com/e/targeted-navigation-and-precise-motion-control/#comments</comments>        <pubDate>Thu, 01 Apr 2021 17:17:25 +0200</pubDate>
        <guid isPermaLink="false">fraunhofermevis.podbean.com/9f520af6-db63-364b-90a4-54f7f3f900eb</guid>
                                    <description><![CDATA[<p>Minimally invasive interventions play a central role in medicine, seen in applications including radiotherapy, heart catheters, and keyhole surgery. The Fraunhofer Institute for Digital Medicine MEVIS is researching methods to improve minimally invasive treatments significantly.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>Minimally invasive interventions play a central role in medicine, seen in applications including radiotherapy, heart catheters, and keyhole surgery. The Fraunhofer Institute for Digital Medicine MEVIS is researching methods to improve minimally invasive treatments significantly.</p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/jx46km/BT4-minimalinvasiv-englisch.mp3" length="9290338" type="audio/mpeg"/>
        <itunes:summary><![CDATA[Minimally invasive interventions play a central role in medicine, seen in applications including radiotherapy, heart catheters, and keyhole surgery. The Fraunhofer Institute for Digital Medicine MEVIS is researching methods to improve minimally invasive treatments significantly.]]></itunes:summary>
        <itunes:author>Fraunhofer MEVIS</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>290</itunes:duration>
                <itunes:episode>3</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
        <itunes:image href="https://pbcdn1.podbean.com/imglogo/ep-logo/pbblog11471783/RGB-jub-02-final.jpg" />    </item>
    <item>
        <title>On the Trail of Important Life Processes</title>
        <itunes:title>On the Trail of Important Life Processes</itunes:title>
        <link>https://fraunhofermevis.podbean.com/e/making-physiological-imaging-as-simple-and-robust-as-structural-imaging/</link>
                    <comments>https://fraunhofermevis.podbean.com/e/making-physiological-imaging-as-simple-and-robust-as-structural-imaging/#comments</comments>        <pubDate>Thu, 25 Mar 2021 15:30:48 +0100</pubDate>
        <guid isPermaLink="false">fraunhofermevis.podbean.com/8d0f514c-3f63-3c09-a369-c90d856fc0c3</guid>
                                    <description><![CDATA[<p>Ultrasound and MRI are among the most important imaging procedures in medicine. The Fraunhofer Institute for Digital Medicine is developing software solutions that optimize image acquisition and simplify tracking physiological functions.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>Ultrasound and MRI are among the most important imaging procedures in medicine. The Fraunhofer Institute for Digital Medicine is developing software solutions that optimize image acquisition and simplify tracking physiological functions.</p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/a9beiv/BT6-physiological-englisch.mp3" length="9898218" type="audio/mpeg"/>
        <itunes:summary><![CDATA[Ultrasound and MRI are among the most important imaging procedures in medicine. The Fraunhofer Institute for Digital Medicine is developing software solutions that optimize image acquisition and simplify tracking physiological functions.]]></itunes:summary>
        <itunes:author>Fraunhofer MEVIS</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>309</itunes:duration>
                <itunes:episode>2</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
        <itunes:image href="https://pbcdn1.podbean.com/imglogo/ep-logo/pbblog11471783/jub-01-final.jpg" />    </item>
    <item>
        <title>The Digital Transformation in Hospitals and Medical Practices</title>
        <itunes:title>The Digital Transformation in Hospitals and Medical Practices</itunes:title>
        <link>https://fraunhofermevis.podbean.com/e/the-digital-transformation-in-hospitals-and-medical-practices/</link>
                    <comments>https://fraunhofermevis.podbean.com/e/the-digital-transformation-in-hospitals-and-medical-practices/#comments</comments>        <pubDate>Thu, 25 Mar 2021 15:30:29 +0100</pubDate>
        <guid isPermaLink="false">fraunhofermevis.podbean.com/86482031-bb3f-3760-8042-a084f1b25728</guid>
                                    <description><![CDATA[<p>The Fraunhofer Institute for Digital Medicine MEVIS develops innovative software solutions for more precise diagnoses and more effective therapies. The possibilities are as varied as the challenges: Artificial intelligence and self-learning algorithms will bring enormous advancements to the clinical routine in hospitals and medical practices. Simultaneously, these solutions call for new structures, for example, in data privacy and interdisciplinary cooperation.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>The Fraunhofer Institute for Digital Medicine MEVIS develops innovative software solutions for more precise diagnoses and more effective therapies. The possibilities are as varied as the challenges: Artificial intelligence and self-learning algorithms will bring enormous advancements to the clinical routine in hospitals and medical practices. Simultaneously, these solutions call for new structures, for example, in data privacy and interdisciplinary cooperation.</p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/wmkdc4/Big-Picture-englisch.mp3" length="10471863" type="audio/mpeg"/>
        <itunes:summary><![CDATA[The Fraunhofer Institute for Digital Medicine MEVIS develops innovative software solutions for more precise diagnoses and more effective therapies. The possibilities are as varied as the challenges: Artificial intelligence and self-learning algorithms will bring enormous advancements to the clinical routine in hospitals and medical practices. Simultaneously, these solutions call for new structures, for example, in data privacy and interdisciplinary cooperation.]]></itunes:summary>
        <itunes:author>Fraunhofer MEVIS</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>327</itunes:duration>
                <itunes:episode>1</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
        <itunes:image href="https://pbcdn1.podbean.com/imglogo/ep-logo/pbblog11471783/Instituts-Spitze-2020_130.jpg" />    </item>
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