Innovation signals are everywhere, but what matters are those that move from laboratory potential to measurable clinical impact.

Joining the conversation are Jim Pollock and Tom Meese from LumenAstra, demonstrating how clinical insight, technical capability, and strategic execution bridge the gap between healthcare innovation and patient outcomes. The discussion explores how their innovative work in developing non-invasive internal body temperature measurement technology will transform the future of AI development, enhance predictive models, and drive the creation of new clinical applications, all while leveraging the interdisciplinary nature of healthcare technology.

This isn't promotional & theoretical. Just the evidence of what happens when we measure the right interventions and act on them wisely.

What You Will Discover:

- Introduction to Lumen Astra & Its Mission

- Innovative temperature measurement technology

- Why has technology only emerged now

- How real-time brain temperature improves clinical decisions

- Dr. Kalia's compassion fatigue story in Neuro-ICU

- Building through customer discovery over assumptions

- Closing: AI, evidence, and future

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/

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

Connect With Our Guests:

Jim Pollock - Co-founder, LumenAstra

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

Tom Meese - Co-founder, LumenAstra

💼LinkedIn - https://www.linkedin.com/in/tom-meese-615ab35/

For clinical collaboration or investment inquiries

📧

🔗- https://www.lumenastra.io/

Visit our website:

https://signalandsymptoms.com/

Get advisory insights about Healthcare AI — at zero cost:

What if the biggest barrier to better cancer care isn't technology—it's how physicians approach treatment with ego?



In this episode, we sit down with Dr. Talia Baker, a transplant surgeon who walked away from clinical practice to solve a problem she witnessed firsthand: the liver cancer patient journey is fundamentally broken.

Dr. Baker introduces the Lori MDT project, a vision for reshaping how patients navigate fragmented cancer care. But the real conversation goes deeper—into the uncomfortable truths about institutional incentives, the care gaps between diagnosis and treatment, and why even the best academic centers are limited by their own biases. Her core argument: fragmented cancer care demands interdisciplinary collaboration and technology-driven process re-engineering. The era of incremental improvements is over. The future belongs to integrated services that cut across specialties—not siloed excellence in labs or imaging alone.

What You Will Discover:

- How the system's fragmentation and silos fail patients today

- Why 75% of cancer patients don't get multidisciplinary care

- The hardest problem: physician hubris, not technology implementation

- The wisest surgical lesson—knowing when not to operate

- Why we lost sight of focusing too much on product quality over service integration

- Building mosaics of superpowers before digital twins take over

This isn't about replacing clinicians with AI—it's about collaboration across clinicians, technologists, patients, and systems to augment what we can do together.

Referenced in the show:

🖇️ "OpenTSLM: Time-Series Language Models for Reasoning over Multivariate Medical Text- and Time-Series Data" – https://arxiv.org/abs/2510.02410

🖇️ “Artificial intelligence should genuinely support clinical reasoning and decision making to bridge the translational gap ” – https://www.nature.com/articles/s41746-025-01725-9

🖇️Chain-of-Influence: Tracing Interdependencies Across Time and Features in Clinical Predictive Modelings – https://arxiv.org/abs/2510.09895

🖇️“Large language models forecast patient health trajectories enabling digital twins” –

https://www.nature.com/articles/s41746-025-02004-3

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 we're running a sick care system pretending to be healthcare? AI promises to change that by improving access for patients and reducing burden for providers, but only if we have leaders who know how to guide the transformation. The challenge: healthcare offers no structured pathway for developing these leaders.

Joining today's expert panel: Arlen Meyers, MD, MBA, President & CEO of the Society of Physician Entrepreneurs, and Muhammad Siddiqui, Chief Digital & Information Officer at Reid Health. Together, they reveal why this leadership gap exists across four levels (personal, organizational, systemic, and societal) and what's actually working on the front lines.

The conversation moves beyond theory into practical realities: why the traditional triple threat model (clinician-researcher-educator) must evolve into something new, how real implementation success shows up in physician quality of life before ROI spreadsheets, and why sustainable AI adoption ultimately requires changing the rules that shape our current healthcare system. The missing piece isn't just technology. It's a culture of continuous learning that prepares physicians to bridge clinical expertise, technological fluency, and entrepreneurial thinking.

What You Will Discover:

- Introduction & Episode Overview

- The Four Barriers to AI Adoption

- Why Physicians Aren't Becoming Tech Entrepreneurs

- The New Triple Threat in Medical Career

- Building AI IQ of Healthcare Through Education

- The Leadership Development Gap

- Bridging Clinical Innovation and Business Value

- The Complexity of Healthcare Sales

- Actionable Advice for Healthcare Leaders

- Reframing the Problem: Changing the Rules

Referenced in the show:

🖇️ "There is no Chief Healthcare AI Officer School" – https://arlenmeyersmdmba.substack.com/p/there-is-no-chief-healthcare-ai-officer

📚 Digital Health Entrepreneurship (Health Informatics) by Arlen Meyers - https://www.amazon.com/Digital-Health-Entrepreneurship-Informatics-dp-3031339010/dp/3031339010/ref=dp_ob_title_bk

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 -

If AI is the future of healthcare, why is its adoption moving at a glacial speed?

In this episode, Sherri Douville, CEO of Medigram and Chair of the Trustworthy Technology and Innovation Consortium (TTIC), argues the true bottleneck is not technology, but a crisis of accountability. She explains that systems—even those that are FDA-approved and cyber-secure —stall because hospital leadership lacks robust governance frameworks to properly evaluate solutions and grant final approval for patient care.

The panel reveals how to establish trust infrastructure and why elevating AI governance to the same rigorous level as finance and clinical quality is the only path to scalability. This structural shift from treating AI as an "innovation experiment" to a reliable "system of record" is the only way to manage risk, ensure accountability, and accelerate safe, effective deployment.

What You Will Discover:

- Deploying AI Safely and Effectively: Her Mission

- Why the C-Suite Cannot Evaluate AI

- The CIO's Dilemma: Clinical Risk Approval

- Founder's Advice: Investor-Client Compatibility

- Govern AI Like Finance and Clinical Quality

- Mindset is the Biggest Limiting Factor

- Hospitals Face Audits Q2 Next Year

- Human Resilience Gives the Most Hope

Tune in for an actionable roadmap to accelerate your AI transformation, complete with frameworks for executive oversight, ethical deployment, and securing your future investments.

Books Mentioned:

📚Mobile Medicine by Sherri Douville – https://www.amazon.com/Mobile-Medicine-Overcoming-Culture-Governance/dp/0367651505 📚Advanced Health Technology by Sherri Douville – https://www.amazon.com/Advanced-Health-Technology-Managing-Acceleration/dp/1032391480

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

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

Special Guest:

Sherri Douville

💼LinkedIn -...

What if the biggest threat to the future of medicine isn't AI—but our refusal to use it?

That's exactly what keeps Dr. Anthony Chang up at night. As founder of Intelligence-Based Medicine (AIMed) and a pioneering pediatric cardiologist, he's dedicated his career to a singular mission: ensuring clinicians aren't left out of healthcare's AI revolution.

In this episode, Dr. Chang joins us to outline the new paradigm where AI serves as the great equalizer—amplifying the reach of elite institutions while empowering rural hospitals with the same capabilities. He shares his vision for a future driven by clinical leadership, data science, and the most revolutionary tool in modern medicine: the Digital Twin, which will soon become routine for personalized care.

What You Will Discover:

- Introduction & AIMed Conference preview

- Digital Twins: The end of "1x research" in medicine

- The real barriers to AI adoption

- Why AI is the great equalizer for rural hospitals & developing countries

- The bilingual clinician imperative

- Why 70% of clinical work could be automated today

Learn the practical skills and strategic knowledge to lead the AI revolution at the premier event for Artificial Intelligence in Medicine.

🔗Register for AIMed25 Global Summit: https://aimed.swoogo.com/AIMed25

🔗Explore the American Board of AI in Medicine: https://abaim.org/

🔗Catch Dr. Harvey Castro's upcoming TEDx talk on AI in healthcare at TEDxSouthlake 2025

🔗Discover cutting-edge AI applications at the AI for Healthcare Leaders Conference

Article reference:

🖇️ "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

📹YouTube...

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 -