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 -

What if AI could have detected your patient's serious condition earlier than your current best practice protocols, potentially avoiding a complex intervention? For Ed Marx, this isn't hypothetical—he lived it.

This episode dives into the clinical realities of AI as a tool for early diagnosis, demonstrating how it's transforming the clinician-patient partnership and challenging providers to rethink workflows to keep pace with AI-empowered patients. Drawing from 20 years of digital transformation leadership and deeply personal healthcare experiences, Ed Marx shares powerful personal case studies of AI's success in diagnostics and overcoming access bottlenecks for specialized care. This episode provides a grounded analysis necessary to examine the immediate strategic implications for practitioners and the necessity for administrators to reorganize primary care delivery models.

The future of care requires collaboration—where clinicians leverage AI not as a replacement, but as a tool to enhance early detection, improve access, and extend their reach.

What You Will Discover:

- From Digital Charts to AI Charts: Healthcare's Third Evolution

- Why Concierge AI Is Nothing Like Dr. Google

- Ed's Prostate Cancer Story: How AI Could Have Changed Everything

- “December Is Too Late”: Bypassing Specialist Wait Times with AI

- Why 40% of Patients Are Skipping Visits

- How AI Empowers Rather Than Replaces

- From Resistance to Action: Strategic Steps for Healthcare Leaders

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

🖇️ “If A.I. Can Diagnose Patients, What Are Doctors For?” https://www.newyorker.com/magazine/2025/09/29/if-ai-can-diagnose-patients-what-are-doctors-for

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

Visit our website: