PureLogics Pulse
Why Healthcare AI Fails at Execution and How to Fix It
Muhammad Atif, President and CTO at PureLogics, speaks with Felice Shieh, Chief Business Officer and Head of AI Product at Headlamp Health, about closing the gap between AI hype and real clinical execution. They discuss building Lumos AI for precision neuroscience, earning clinician trust, and why domain-specific AI outperforms generalized models in healthcare. PureLogics Pulse Episode Chapters: 00:00 Introduction to Felice Shieh and Headlamp Health01:30 Felice's journey from bench science to business development at Pfizer and J&J04:00 What separates a validated platform from an interesting demo06:15 The biggest technical hurdles in building Lumos AI07:45 Why agentic AI is the next big step for healthcare09:45 Hybrid architecture and proprietary models explained10:20 What longitudinal multimodal data means in plain English11:35 Moving beyond trial and error in neuropsychiatry13:00 Who Headlamp Health's customers and partners are14:15 How compliance and data governance are managed17:00 Workflow automation versus an intelligence layer19:15 How Headlamp Health measures whether Lumos AI is working21:30 The biggest misconceptions about healthcare AI adoption23:30 Why AI pilots fail to scale into real-world adoption26:00 Where AI initiatives lose momentum in large organizations27:00 Building clinical trust in algorithm-driven recommendations28:10 Rapid fire round with Felice Shieh30:00 Advice for leaders stuck on cost, complexity, or change 31:00 Closing thoughts#PureLogics #PureLogicsPulse #Podcast #Technology #TechPodcast #AI #TechnologyPodcast #HealthcareAI #AgenticAI #PrecisionMedicine
