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Patient positioning in CT: leveraging a new AI-powered user interface

Optimizing patient positioning in CT is key to image quality, efficiency, and patient outcomes. This presentation explores an AI-powered user interface that enhances precision, reduces variability, and streamlines workflows through real-time guidance and automation.

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Speaker

Mr. Alex Riemer

Radiographer, CT-Specialist, Trainer and Book Author for Computed Tomography

Mönchengladbach, Germany

Course Information

At the end of this video, delegates will:

  • Understand how to optimize patient positioning in CT imaging by utilizing a new AI-powered user interface to enhance workflow efficiency, image quality, and patient outcomes.

This educational talk was created in 1st March 2025. All information contained in this session was correct at the time of distribution.

Disclaimer: Appearing on the Canon Medical Academy does not represent a commercial partnership or interest from the speaker. The views herein do not represent the views of Canon Medical Systems Ltd.

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