Imaging AI Adoption Pulse Check: An Ecosystem Review of Progress with Health Systems, Radiologists and AI Companies

Nearly half a decade into rapidly proliferating AI for medical imaging, the adoption has been paradoxically slow. What AI healthcare solutions yield actual value?

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 companies 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 take away:

  • A holistic view of AI adoption from the Health System, Radiology and AI Company perspective
  • New trends and opportunities emerging in imaging AI today
  • Understanding of ecosystem thinking and how it offers a path for addressing persistent industry challenges

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