• How AI is transforming Radiology

  • 2024/03/06
  • 再生時間: 25 分
  • ポッドキャスト

How AI is transforming Radiology

  • サマリー

  • In medical imaging, there is a constantly growing gap between the need for diagnostic imaging and the availability of specialist staff. At the same time, groundbreaking developments in the field of artificial intelligence continue to transform the face of the imaging field as we know it. In fact, AI is currently being used as an efficient and cost-reducing solution to a variety of industry challenges.


    Today, you’ll hear several panel conversations discussing generative AI in radiology, recorded live at the European Congress of Radiology. Held this year in Vienna, the ECR is one of the leading events in radiology as well as one of the world’s largest international meetings of radiology professionals, radiographers, physicists, and industry representatives.


    In this episode, host Fabian Schoeck, Head of Global Product Management for Artificial Intelligence Products at Siemens Healthineers, is joined by Dr. Johannes Haubold, Senior Physician for Clinical AI Integration at University Hospital Essen and Isabelle Ayx, a Senior Radiologist at University Medical Center Mannheim, all based in Germany.


    What You’ll Learn in This Episode:

    • The potential and the limitations of generative AI in radiology
    • AI can be used to help with early detection
    • Generative AI can transform clinical workflows
    • How can AI can pave the way for more accurate and efficient diagnostics
    • Artificial intelligence can process massive amounts of data, allowing for huge advantages to research
    • What’s coming next in AI development for the radiology field


    Connect with Fabian Schoeck

    • LinkedIn


    Connect with Johannes Haubold

    • LinkedIn


    Connect with Isabelle Ayx

    • LinkedIn

    Hosted on Acast. See acast.com/privacy for more information.

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あらすじ・解説

In medical imaging, there is a constantly growing gap between the need for diagnostic imaging and the availability of specialist staff. At the same time, groundbreaking developments in the field of artificial intelligence continue to transform the face of the imaging field as we know it. In fact, AI is currently being used as an efficient and cost-reducing solution to a variety of industry challenges.


Today, you’ll hear several panel conversations discussing generative AI in radiology, recorded live at the European Congress of Radiology. Held this year in Vienna, the ECR is one of the leading events in radiology as well as one of the world’s largest international meetings of radiology professionals, radiographers, physicists, and industry representatives.


In this episode, host Fabian Schoeck, Head of Global Product Management for Artificial Intelligence Products at Siemens Healthineers, is joined by Dr. Johannes Haubold, Senior Physician for Clinical AI Integration at University Hospital Essen and Isabelle Ayx, a Senior Radiologist at University Medical Center Mannheim, all based in Germany.


What You’ll Learn in This Episode:

  • The potential and the limitations of generative AI in radiology
  • AI can be used to help with early detection
  • Generative AI can transform clinical workflows
  • How can AI can pave the way for more accurate and efficient diagnostics
  • Artificial intelligence can process massive amounts of data, allowing for huge advantages to research
  • What’s coming next in AI development for the radiology field


Connect with Fabian Schoeck

  • LinkedIn


Connect with Johannes Haubold

  • LinkedIn


Connect with Isabelle Ayx

  • LinkedIn

Hosted on Acast. See acast.com/privacy for more information.

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