AI in Healthcare and Manufacturing: Why Adoption Is the Real Problem

AI adoption, not innovation, is the real barrier to progress in healthcare and manufacturing. Siemens' Brittany Ng and Rad AI's Demetri Giannikopoulos share what they told the U.S. Senate about deploying AI where it matters most.   In radiology, AI is reducing missed diagnoses, extending specialist expertise to underserved hospitals, and giving physicians more time with patients. In shipyards and factories, industrial AI is automating complex processes, cutting downtime, improving quality, and strengthening domestic manufacturing capacity.   But the real AI adoption challenges aren't technical. They're about data access, governance, workforce readiness, trust, and making sure smaller hospitals and manufacturers aren't left behind.   What you'll learn: What Siemens and Rad AI told the U.S. Senate about real-world AI deployment How AI in radiology is reducing missed diagnoses and extending specialist care How industrial AI is transforming manufacturing and shipbuilding Why AI adoption challenges come down to data access, governance, and trust What responsible AI deployment looks like for smaller organizations Show notes: Siemens VP Addresses Congress on Industrial AI: https://www.siemens.com/en-us/company/insights/us-stories/siemens-vp-addresses-congress-on-industrial-ai/ Less Hype, More Help: AI That Improves Safety, Productivity, and Care - Written Testimony: https://www.radai.com/blogs/less-hype-more-help-ai-that-improves-safety-productivity-and-care-written-testimony