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Accelerating MRI: Lessons on AI-Powered Software

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0.50 Category A credits/credit hours

Join us to hear from your colleague Brad Barr (Senior MRI Technologist, Shared Health Diagnostic Imaging), who was a vital part of the team that successfully launched Canada's first AI powered MRI software installation of a deep learning reconstruction technology that “accelerates MR image acquisition and improves resolution and quality”, per Siemens. Learn from this leader while we analyze the impact of AI-powered MRI software on diagnostic imaging efficiency, evaluate how workflow redesign and team-led innovation contributed to improved patient access, safety, and experience in a mid-sized healthcare setting, and explain the relationship between technological advancements, MRTs and patient-centered outcomes. This webinar was co-presented by CAMRT-MB and is offered on-demand free for members. Perfect for those interested in new developments, leading change in their own areas, or MRTs interested in how technological changes impact the teams that use them. 

Learning Objectives:
- Analyze the impact of AI-powered MRI software on diagnostic imaging efficiency by comparing scan times, image quality, and patient throughput before and after implementation in a MB-based installation.
- Evaluate how workflow redesign and team-led innovation contributed to improved patient access and experience in a rural, mid-sized healthcare setting.
- Explain the relationship between technological advancements in MRI imaging and patient-centered outcomes.

The CAMRT is pleased to collaborate with Shared Health Diagnostic Imaging on this webinar series. The content and views presented in this webinar are those of the author(s) and do not necessarily reflect the views of the CAMRT. This webinar does not constitute endorsement of any products that may be presented.

Free for members!
Non-Member Price: $40.00

CAMRT reserves the right to verify membership status and to reclaim the difference between the member and non-member CPD course fees, should a discrepancy exist.

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