How RapidAI Is Rethinking Resilience in Radiology Workflows

[SPONSORED] What happens to radiology workflows when the cloud is unavailable, connectivity drops, or systems are under strain? For many health systems, these scenarios are no longer hypothetical.In this interview, Karim Karti, CEO of RapidAI, explains how radiology AI platforms need to be built for real-world conditions. The conversation spans resilient cloud architecture that can shift on-prem when needed, why continuity matters in acute care like stroke, and how AI’s long-term value in radiology is moving toward prediction rather than just faster reads.How are you thinking about resilience and continuity in your imaging and AI strategy? Share what you’re seeing in your organization.🔔 Subscribe for more great interviews with Health IT leaders.Learn more about RapidAI at https://www.rapidai.com/Find more great health IT content at https://www.healthcareittoday.com/