Don’t let your clinical AI operate in a "blind spot" where vendors grade their own homework. Without independent verification, AI adoption isn’t innovation, it’s operational gambling.

From defining what meaningful AI validation actually requires, to outlining how health systems can measure real-world performance, manage risk, ensure safety and align incentives with outcomes. This session will equip leaders with information and insight toward responsible, scalable AI adoption.

Right now, too many healthcare organizations are paying a heavy "Fragmentation Tax"—rebuilding integration logic for every new model, stalling their clinical fleets, and inflating their Total Cost of Ownership.