Signal and Symptoms Podcast
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.
Episode 1: The Story of Dr. GPT: From ER Physician to Healthcare AI Leadership
Ever wondered what it takes to transform your career from a practicing physician to a visionary leader in healthcare?
Episode 2: How to Lead AI in Healthcare? Lessons from the CIO Who Started from the Ground Up
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?
Episode 3: Can AI Outperform Doctors? The Reality Behind the Claims
When Microsoft claimed AI achieved 80% diagnostic accuracy compared to doctors, it stopped healthcare leaders mid-scroll.
Episode 4: The Implementation-Success Gap: Why Most Deployments Aren't Working in Healthcare AI
Together, they dissect survey data from 43 health systems to expose the complex reality behind the AI hype.
Episode 5: The Healthcare AI Adoption Framework: Is Your AI a Smart Investment?
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?
Episode 6: Beyond the Benchmarks: How to Validate & Monitor AI Tools Before Deployment?
Healthcare AI mistakes aren't just expensive—they're potentially dangerous.
Episode 7: AI vs. Your Brain: Preserving Clinical Expertise in the Age of AI
The conversation in healthcare is shifting. It's no longer just about adopting AI, but about the cognitive cost of over-relying on it.
Episode 8: Healthcare AI: Navigating Investment Challenges and Building Strong Partnerships for Innovation
In a world of tightening budgets, how can health systems find the margin to invest in innovation and transformation?
Episode 9: The Wild West of Healthcare AI: Innovation, Regulation, and the Paralysis of Caution
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?
Episode 10: Why Healthcare Can't Close the AI Implementation Gap (And What to Do About It)
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?
Episode 11: AI Won't Replace You—But Patients Using AI Will Change Everything
What if AI could have detected your patient's serious condition earlier than your current best practice protocols, potentially avoiding a complex intervention?
Episode 12: Moving Beyond Replacement: How Physician-AI Augmentation Reshapes Clinical Practice
Can AI-powered wearables and sophisticated diagnostic algorithms truly change clinical practice? Or are we mistaking technological capability for clinical readiness?
Episode 13: From Glacial Pace to Strategic Bets: How Healthcare Leaders Must Plan for AI Today
Dr. Zayna Khayat joins the conversation as a health futurist—not to predict what's coming, but to help healthcare leaders make strategic decisions that create their desired future rather than react to an uncertain one.
Episode 14: Healthcare AI's Triple Conflict: The Politics, Prices, and Paralysis of Progress
Why does technology that can predict diseases days in advance get stuck in endless, expensive pilot programs?
Episode 15: What Keeps a Pediatric AI Pioneer Up at Night (It's Not What You Think)
What if the biggest threat to the future of medicine isn't AI—but our refusal to use it?
Episode 16: Mindset, Audits, & Equity: What’s REALLY Slowing Down Healthcare AI?
If AI is the future of healthcare, why is its adoption moving at a glacial speed?
Episode 17: From Sick Care to True Healthcare: Why AI Demands a New Kind of Leader
What if we're running a sick care system pretending to be healthcare?
Episode 18: From Fragmented Silos to Integrated Services: Transforming Cancer Care Delivery
What if the biggest barrier to better cancer care isn't technology—it's how physicians approach treatment with ego?
Episode 19: Why Surgeons Can't Measure Brain Temperature Directly (And What's Finally Changing)
Innovation signals are everywhere, but what matters are those that move from laboratory potential to measurable clinical impact.
Episode 20: AI in Healthcare 2025: 3 Insiders Reveal 9 Non-Negotiable Strategies
If healthcare AI is truly evolving, why are there still gaps between what technology can do and what healthcare organizations are actually doing?
Episode 21: What If Better Patient Care Actually Cost Less? The AI Reality
The future of AI-enabled care is massive and available, but the question remains: will we be the ones leading it?
Episode 22: 15 Healthcare Leaders Predict 2026: AI Will Transform Care (Or Collapse Under Bureaucracy)
AI tools are proliferating across hospitals, but can healthcare systems integrate them effectively?
Episode 23: Is Healthcare Sustainable Without AI?
The most dangerous assumption in healthcare AI today is that we have time to "wait and see" how tools develop.
Episode 24: Why Are Junior Researchers Outperforming Gene Editing Experts?
Drug development today forces patients to fit standard medications—but what if we could reverse that paradigm and design treatments tailored to each patient's unique biology?
Episode 25: Why Physician Innovators Matter Now—And How to Become One
AI transformation in healthcare isn't something happening to physicians—it's an evolution physicians can actively shape and lead.
Episode 26: What FDA's Step Back Means in Building Credibility
The FDA stepped back. Now, organizational governance is the only thing standing between innovation and liability.
Episode 27: Why Only Doctors Can Fix What's Broken
The path forward isn't just surviving a broken system—it’s reclaiming our roles as primary stakeholders and system architects through a unified, "Doctor-to-Doctor" movement.
Episode 28: Why Healthcare AI Startups Fail—Microsoft Global Health Leader Reveals the Fix
Why do brilliant healthcare products fail before they ever reach patients?
Episode 29: How a 200-Year-Old Hospital Is Adapting to an AI-Driven World
What happens when a 200-year-old safety-net hospital decides it's had enough of losing revenue to insurance denials and uses AI to fight back?
© 2025 Signal & Symptoms. All rights reserved.