A shortage of scalable clinical expertise is becoming healthcare’s limiting factor, not access to imaging hardware. In this session, Taha Kass-Hout, Global Chief Science and Technology Officer at GE HealthCare, will share architecture patterns for an intelligent control plane where multimodal models run at the edge to interpret images plus workflow context and guide real-time decisions with human oversight.
Using autonomous X-ray as an early proof point, you will learn how accelerated computing enables clinical-grade latency and deployment, and how simulation and digital twins support safe validation at scale. Roland Rott, President and CEO of Imaging at GE HealthCare, will highlight real-world examples and measurable outcomes from AI adoption across ultrasound, mammography, CT, and MRI, and how these results inform the path toward increasingly autonomous imaging workflows.
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