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Webinar
AI in Prostate MR Reading: 
A comprehensive overview 
Webinar co-hosted by Dr. Erik Thimansson 
Thursday 23 November 13:00 - 14:00

While the number of imaging examinations is steadily increasing in many countries, the number of experts is not growing proportionally. This results in an ever-increasing workload for the radiologist. The effect of this is that shorter reading times can have a negative impact on the quality of the reports.

Advanced image processing tools like MR Prostate support clinicians in analyzing and processing medical images. MR Prostate automatically prepares valuable information for clinicians in order to facilitate the subsequent image interpretation workflow.

This first focus workshop intends to give an overview of the different solutions available to enhance your Prostate MRI reading. Supported by a hands-on demonstration on syngo.via, we’ll dive into the different features and tools along the whole workflow.

Furthermore, our guest speaker Dr. Thimansson will present his findings about the deep learning algorithm that was proven to perform similarly to radiologists in the assessment of prostate volume on MRI.

  • Overview of the different solutions available to enhance your Prostate MRI reading
  • Hands-on demonstration on syngo.via
  • Dr. Thimansson will present his findings about the deep learning algorithm that was proven to perform similarly to radiologists in the assessment of prostate volume on MRI.

About Dr. Eric Thimansson

Erik Thimansson is working as a consultant radiologist at Helsingborg Hospital in the urogenital section and is PhD candidate at the Department of Translational Medicine, Diagnostic Radiology, Lund University, Sweden.

He has leading positions in the organized Prostate Cancer Testing program regionally and nationally and is associated member of the National Swedish Prostate Cancer Registry steering committee. His current research interests include the role of MRI prostate in organized prostate cancer testing and evaluation of artificial intelligence in MRI reading.

Dr. Eric Thimansson