Why Most Radiology AI Fails

AI can detect lung nodules in milliseconds—so why hasn't radiology been transformed? In this episode of Med Tech Gurus, we sit down with Khan Siddiqui, radiologist, serial entrepreneur, and CEO of HOPPR, to unpack why most AI tools in medical imaging struggle to survive beyond pilot studies. Dr. Siddiqui explains that detection isn't the real problem—workflow is. As imaging volumes surge and radiologist shortages intensify, AI must deliver measurable ROI in time savings, reporting efficiency, and reduced cognitive load. Tools that add clicks or increase reading time simply won't scale. We explore HOPPR's AI-native platform, which accelerates model development, enables local fine-tuning, and integrates AI directly into existing clinical workflows. Khan also shares powerful lessons on fundraising, identifying "hair-on-fire" customers, building A-player teams, and scaling innovation responsibly in regulated healthcare environments. If you care about AI in healthcare, radiology innovation, or moving from hype to real-world adoption, this episode delivers practical insight from one of the field's pioneers.