In today’s competitive landscape, medical device companies are evolving toward software-defined systems where success in next-generation healthcare depends on parallel, integrated AI and data strategies that enable devices to learn, adapt and improve.
This white paper explores why a hybrid architecture leveraging Flywheel’s imaging data platform and NVIDIA’s accelerated computing capabilities is crucial to unlocking imaging AI innovation at scale. Learn how a coordinated approach to AI development and enterprise-wide data activation positions device manufacturers to lead in diagnostics, therapeutic monitoring and surgical innovation.
