
Three healthcare AI experts who've watched millions wasted on failed projects. Dr. Harvey Castro, Dr. Junaid Kalia, Edward Marx, and various experts cover all things healthcare AI - from digital transformation to clinical reality.
Every Tuesday, we diagnose real failures, reveal what actually works, and help you avoid the expensive mistakes we've seen repeated everywhere.
Because when AI decisions affect patient care, getting it right isn't optional.
Ever wondered what it takes to transform your career from a practicing physician to a visionary leader in healthcare?
What if the difference between healthcare leaders who thrive and those who fall behind isn't talent—but their approach to staying current with AI?
When Microsoft claimed AI achieved 80% diagnostic accuracy compared to doctors, it stopped healthcare leaders mid-scroll.
Together, they dissect survey data from 43 health systems to expose the complex reality behind the AI hype.
In navigating healthcare innovation, leaders are tasked with a critical question: how do you vet a new AI solution when the stakes are so high?
Healthcare AI mistakes aren't just expensive—they're potentially dangerous.
The conversation in healthcare is shifting. It's no longer just about adopting AI, but about the cognitive cost of over-relying on it.
In a world of tightening budgets, how can health systems find the margin to invest in innovation and transformation?
In this episode, our panel takes a step back to ask: where are we on this path to innovation, and how do we prepare for what's next?
In this episode, our panel of experts cuts through the noise to ask: What's actually preventing healthcare from closing the implementation gap—and what can we do moving forward?
Signal and Symptoms Podcast