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Explore Corti on Governance, Deterministic AI, and Clinical Trust in Healthcare | AppDevANGLE with 5,152 views, 139 likes, and 0 comments. Experience the impact of this video content that has captured audience attention.

Healthcare may become the industry that forces AI infrastructure to mature faster than anywhere else. In this episode of AppDevANGLE, Paul Nashawaty speaks with Lars Maaløe, Co-Founder of Corti, about why most healthcare AI projects still fail to reach production and what needs to change to operationalize AI safely at scale. The conversation explores how healthcare environments challenge traditional large language model assumptions, why deterministic orchestration and grounded reasoning are becoming critical, and how governed agentic systems could reshape clinical and administrative workflows. As healthcare organizations move from experimentation to production AI deployments, trust, auditability, interoperability, and operational safety are becoming the defining requirements. Key Highlights Why most healthcare AI projects fail before production How deterministic orchestration reduces hallucination risk The role of grounded reasoning and recursive fact validation Why healthcare AI requires stronger governance than enterprise AI How agentic systems are reshaping clinical and administrative workflows Why open standards and interoperability matter in healthcare AI How AI is evolving from software tooling into operational digital labor 00:00 - Intro 00:07 - AI Pioneers and Challenges in Transforming Healthcare 03:22 - Title: "Advancing Healthcare with Reliable and Safe AI Solutions 07:40 - Agentic Framework and Model Hallucinations 10:16 - Bridging Barriers: Advancing AI Through Open Standards 13:32 - AI as a Tool for Operational Efficiency 16:56 - Advancing Healthcare through AI: Future Insights and Imperatives

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