Imaging AI progress: An Ecosystem View Across Health Systems, Radiologists and AI vendors

Nearly half a decade into rapidly proliferating AI for medical imaging, the adoption has been paradoxically slow. Why the hesitancy, and how to accelerate the pace of progress, are timely topics today across the healthcare ecosystem. Clinicians want to know which AI applications will provide measurable value – cost or time savings or improved clinical outcomes. IT leaders and clinicians alike want to deploy AI with more certainty that it will improve physicians’ effectiveness, without draining IT resources. Correspondingly, AI developers and vendors want to understand how to best position themselves to achieve returns for their continued innovation. There is a collective interest in pursuing quality patient care, new approaches are emerging to support an ecosystem model, such as orchestration, and start addressing constituents’ concerns.

 What You'll Learn: Join This Webinar To:

• Consider AI adoption from an ecosystem perspective.
• Learn about trends and opportunities emerging in imaging AI today.
• Hear about ecosystem thinking and how it may offer a path for addressing persistent industry challenges.

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