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
Connect with Johannes Haubold
Connect with Isabelle Ayx
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