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:

The question isn't whether AI works in clinical practice—it's about dismantling the bottlenecks that keep proven innovations trapped in academic papers instead of integrated into daily care.

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? Because we need more healthcare professionals who not only recognize AI's potential but also implement it in a way that improves patient outcomes.

Hear from three voices who bring this challenge to life: a clinician-founder who's navigated the frustration of having evidence without approval, a clinician and international AI advisor offering global insight on building trust and navigating governance, and a healthcare executive confronting the daily tension between operational demands and strategic transformation. Through peer-to-peer dialogue, they challenge conventional wisdom about innovation hierarchies, experimentation, and what leadership truly entails in the age of AI.

What You’ll Discover:

- The Seven-Year Evidence Gap

- Why Culture (not Capability) is the Real Barrier

- The Operational Trap: Why There's No Time to be Strategic

- How Transparency Builds Trust in AI

- Why Fear of Failure and Over-Governance Kill Innovation

- Innovation Hierarchy: The Danger of Hiring Another Chief.

- How to Remove Yourself from the Grind and Think about the Future

- Board-Level Education: The Need for Tech-Advanced Leadership

- Strategic Framework: A 5-Question for C-suite’s AI Readiness

Most importantly, you'll walk away with a five-question evaluation framework that CMOs, CFOs, and CEOs can use immediately to assess AI readiness and drive meaningful implementation.

This isn't just theory—it diagnoses the real barriers and prescribes practical solutions.

Referenced in the show:

🖇️ "Accelerating clinical evidence synthesis with large language models" – https://www.nature.com/articles/s41746-025-01840-7

Book mentioned:

📚Healthcare Digital Transformation: How Consumerism, Technology and Pandemic are Accelerating the Future - https://a.co/d/86uLRxw

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 -