Governed by Design- What Regulated Industries Must Demand Before the Age of Agentic AI Over the years of deep engagement with professionals across regulated industries—through panel conversations, working sessions,
OpenOvation · Thought Leadership in AI & Innovation The White Coat Meetsthe Algorithm. Most AI in healthcare right now is automating existing workflows — not transforming care. Understanding that
AI in Healthcare · Performance Metrics Rare diseases expose the hardest truth about AI model scores. When only 3 patients in 100 have the condition, a model that predicts
And the design fix is not a better EHR. It is a governed agentic AI architecture. • • • Working memory holds three to five items at
The Missing Layer in Your AI Stack Why the hardest problem in enterprise AI isn’t building agents — it’s proving they’re governed. • • • The technology part works.
AI is no longer a research experiment. It is embedded in credit decisions, clinical pathways, hiring pipelines, and public services. The ethical question has shifted from whether to govern
The industry is moving fast on capability. It is moving slowly — dangerously slowly — on the one thing that determines whether that capability can be trusted. There is
A Systematic Process for Feature Selection, Feature Dropping, and Algorithmic Self-Selection in Iterative Machine Learning Development Feature selection is the most consequential and least disciplined step in the machine
Healthcare’s AI crisis isn’t what you think. While the pandemic unleashed hundreds of COVID-19 prediction models promising diagnostic breakthroughs, zero reached successful clinical deployment. A 2020 BMJ systematic review
