Artificial Intelligence is being hailed as the Fourth Industrial Revolution, but if you're a clinician or a healthcare executive, it might feel more like a permanent roadblock. You’re past the hype, but still wrestling with the paradox: Why does technology that can predict diseases days in advance get stuck in endless, expensive pilot programs?

Join physician-founder Dr. Junaid Kalia and international advisor Dr. Harvey Castro as they diagnose the true state of AI in healthcare. They argue that the friction you feel trying to implement a new tool is merely a symptom of a much larger, global tension—one that is fundamentally cultural, economic, and geopolitical. We explore the deep regional divide on AI adoption, contrasting Western healthcare's inherent caution with Asia's rapid acceptance, and expose the mounting pressure on US-based AI. International models are closing the performance gap while costing as little as one-tenth of the price, creating a crucial strategic dilemma for every strategic budget. Finally, we confront the regulatory landscape: is increased US regulation genuine oversight, or a strategic form of "protectionism" designed to slow down nimble innovators?

This episode offers more than just diagnosis—it delivers the actionable foresight needed to lead. The hosts strip away the philosophical debate on whether AI can truly "think" and refocus on the only thing that matters: creating workflows that solve critical problems.

What You Will Discover:

- The Fourth Industrial Revolution: Understanding AI's threat to current healthcare labor models.

- AI in Action: The shift to embedded systems and autonomous life

- Geopolitics and Price Wars: How global competition creates a strategic dilemma on costs

- Regulation as Protectionism: Is increased US governance designed to protect patients or to safeguard market interests?

- The Workflow Revolution: Why it matters for clinical impact

Referenced in the show:

🖇️ "The state of AI: How organizations are rewiring to capture value” – https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai

🖇️ “The 2025 AI Index Report” – https://hai.stanford.edu/ai-index/2025-ai-index-report

🖇️ “BIG IDEAS 2025” – https://www.ark-invest.com/big-ideas-2025

Connect with us:

Dr. Junaid Kalia, Neurocritical Care Specialist and Founder of Savelife.AI™

💼LinkedIn - https://www.linkedin.com/in/junaidkaliamd

🔗Website - https://www.junaidkalia.com/

📹YouTube - https://www.youtube.com/@junaidkaliamd

Dr. Harvey Castro, ER Physician, #DrGPT™

💼LinkedIn - https://www.linkedin.com/in/harveycastromd/

🔗Website - https://www.harveycastromd.com/

📷Instagram -

What happens when breakthrough technology arrives before the infrastructure to support it? Healthcare organizations face AI transformation without the policies, governance, or strategic frameworks to implement it effectively. The gap creates a vacuum that patients are filling on their own—forcing leaders to rethink their approach.

In this episode, 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. Alongside physicians and executives navigating innovation from different vantage points, she explores why proven innovations stall in approval cycles, and how leaders shift from reactive deliberation to strategic action.

The episode demonstrates what that shift requires: deciding what percentage of organizational choices align with future vision versus current crises, building governance infrastructure before deploying innovation, and using collapse scenarios as speculative tools to change how leaders decide today. Organizations engaging in this work now shape their evolution. Those seeking certainty first may find patients and entrepreneurial outsiders have already moved forward.

What You Will Discover:

- How applied futurism helps make strategic bets on emerging futures

- The market infrastructure innovators must build

- Future visioning with leadership as the prerequisite for innovation adoption

- The Collapse Scenario: AI-empowered patients dissolving primary care models

Connect with us:

Dr. Junaid Kalia, Neurocritical Care Specialist and Founder of Savelife.AI™

💼LinkedIn - https://www.linkedin.com/in/junaidkaliamd

🔗Website - https://www.junaidkalia.com/

📹YouTube - https://www.youtube.com/@junaidkaliamd

Dr. Harvey Castro, ER Physician, #DrGPT™

💼LinkedIn - https://www.linkedin.com/in/harveycastromd/

🔗Website - https://www.harveycastromd.com/

📷Instagram - https://www.instagram.com/harveycastromd/?hl=en

Edward Marx, CEO, Advisor

💼LinkedIn - https://www.linkedin.com/in/edwardmarx/

🔗Website - https://www.marxadvisory.com/about-ed-marx

Special Guest:

Zayna Khayat, Ph.D., Health Futurist

💼LinkedIn - https://www.linkedin.com/in/zaynakhayat/

Visit our website:

https://signalandsymptoms.com/

Get advisory insights about Healthcare AI — at zero cost:

https://junaidkaliamd.substack.com/

Can AI-powered wearables and sophisticated diagnostic algorithms truly change clinical practice? Or are we mistaking technological capability for clinical readiness?

In this episode, our hosts bring a dual perspective as physicians and healthcare AI futurists to a critical analysis. They examine emerging hardware and diagnostic approaches that could reshape real-time workflows, scrutinize what benchmark studies actually reveal about AI performance, and articulate a vision grounded in a simple but profound truth: while the physician's eye is limited to the visible spectrum, AI can process extensive multimodal data in real time.

This isn't about diminishing the role of physicians. It's about what happens when AI is designed as an extension of physician capability rather than a substitute for it. The episode offers a concrete vision of how this partnership could work in practice, and what a human-AI partnership means for clinical practice.

What You Will Discover:

[00:34] Intro

[00:54] How AI-powered glasses could reshape real-time clinical workflows

[05:45] What radiology benchmarks reveal about AI's clinical readiness

[07:45] Why human perception has fundamental limits and how AI fills that gap

[09:26] How lack of regulation could amplify health inequities in the AI era

[10:19] Envisioning the need for physician-algorithm specialists

[12:06] Shaping a more capable, present, and human-centered practice

Referenced in the show:

🖇️ “The algorithmic consultant: a new era of clinical AI calls for a new workforce of physician-algorithm specialists” – https://www.nature.com/articles/s41746-025-01960-0

🖇️ “Radiology’s Last Exam (RadLE): Benchmarking Frontier

Multimodal AI Against Human Experts and a Taxonomy of

Visual Reasoning Errors in Radiology” – https://arxiv.org/abs/2509.25559

🖇️“Analog in-memory computing attention mechanism for fast and energy-efficient large language models” – https://www.nature.com/articles/s43588-025-00854-1

🖇️ “New Meta Ray-Ban AI-Powered Display Glasses & Neural Band” – https://www.meta.com/ai-glasses/meta-ray-ban-display/?srsltid=AfmBOorJFTa87uJM8WpBm-rGtISfvdb-LGADG99BHMZfDIH-Ijj7Pzz6

Connect with us:

Dr. Junaid Kalia, Neurocritical Care Specialist and Founder of Savelife.AI™

💼LinkedIn - https://www.linkedin.com/in/junaidkaliamd

🔗Website - https://www.junaidkalia.com/

📹YouTube - https://www.youtube.com/@junaidkaliamd

Dr. Harvey Castro, ER Physician, #DrGPT™

💼LinkedIn - https://www.linkedin.com/in/harveycastromd/

🔗Website - https://www.harveycastromd.com/

📷Instagram -