Signal and Symptoms Podcast Podcast Por Harvey Castro MD Junaid Kalia MD & Edward Marx arte de portada

Signal and Symptoms Podcast

Signal and Symptoms Podcast

De: Harvey Castro MD Junaid Kalia MD & Edward Marx
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Three healthcare AI experts who've watched millions wasted on failed projects. Dr. Harvey Castro, Dr. Junaid Kalia, Edward Marx, and guest 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.Copyright 2026 Harvey Castro MD, Junaid Kalia MD, & Edward Marx Enfermedades Físicas Higiene y Vida Saludable Política y Gobierno
Episodios
  • The Treatment Exists But Why Aren't Patients Getting It?

    The Treatment Exists But Why Aren't Patients Getting It?
    Mar 31 2026
    What if the real barrier to better patient outcomes isn't the medicine — it's the infrastructure to prescribe it well?This episode surfaces a broader signal: personalized medicine is no longer a future ambition — it's a present clinical need. And the system, as it stands, is not equipped to deliver it at scale.Joining the conversation are Itay Segal and Dr. Jean-Claude, co-founders of Unlock Healthcare, to explore one of medicine's most underexamined tensions: the gap between what a treatment can do and what the current system is built to support. The discussion centers on cannabinoid medicine — not as a cultural phenomenon, but as a clinical case study for why one-size-fits-all care fails the patients who need personalized treatment most.This episode asks the harder question: before we can treat patients better, do we have the right foundation in place to even try?What You Will Discover:- The Gap Between Need and Treatment- Infrastructure as the Real Innovation- Why One Size Fits No One- The Physician as Informed Partner, Not Just Licensor- The Regulatory Runway- The Evidence GapA note from Signal & SymptomsThis episode doesn't center on AI — and that's precisely the point. Before AI can meaningfully improve patient outcomes, the clinical infrastructure to capture, act on, and learn from patient data has to exist first. What Unlock Healthcare is building is that foundation layer. We separate signal from noise at Signal & Symptoms, and this episode's signal is clear: the future of treatment depends as much on the systems we build around medicine as on the medicine itself.References:🖇️ "DRGPT AI Lessons (3 books)" – https://www.amazon.com/dp/B0GTNQ18K2?binding=paperbackConnect 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 📑 Substack - https://harveycastromd.substack.com/ Edward Marx, CEO, Advisor 💼LinkedIn - https://www.linkedin.com/in/edwardmarx/ 🔗Website - https://www.marxadvisory.com/ 📹YouTube - https://www.youtube.com/@EdwardMarx Special Guests:Itay Segal, Co-Founder, CEO at Unlock.Healthcare💼LinkedIn - https://www.linkedin.com/in/itay-segal-723b488/Jean Claude Scicluna, MD, MSc, Co-Founder, Medical Director at Unlock.Healthcare💼LinkedIn - https://www.linkedin.com/in/jeanclaudescicluna/ Visit our website:https://signalandsymptoms.com/Get advisory insights about Healthcare AI — at zero cost:https://junaidkaliamd.substack.com/
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    20 m
  • AI Is In Healthcare—So Why Isn't It Working?

    AI Is In Healthcare—So Why Isn't It Working?
    Mar 24 2026

    The overarching signal is: we're early, it's messy, and the people closest to the work know it best.

    In this episode, Dr. Andrew Kim joins hosts Dr. Junaid Kalia, Dr. Harvey Castro, and Eward Marx for an unfiltered look at what healthcare AI implementation looks like from the inside. They are diagnosing the vendor translation failures, the physician workflow wars, the governance structures being built in real time, and the looming AI-vs-AI battle between health systems and insurance companies.

    The episode reveals an insider implementer’s perspective on where most AI deployments succeed or fail. Tune in to reflect on where your organization sits on the healthcare AI adoption curve, and what role you play in closing the gap.

    What You Will Discover:

    - The AI Market Diagnosis

    - The Clinician Workflow-Vendor Roadmap Collision

    - AI Governance Inside a Health System

    - Forecast on AI Displacement

    - The “Magic Wand” Round

    - Personalization vs. McDonaldization in Medicine

    Referenced in the show:

    🖇️ "Use of Ambient AI Scribes to Reduce Administrative Burden and Professional Burnout" – https://jamanetwork.com/journals/jamanetworkopen/fullarticle/2839542

    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

    📑 Substack - https://harveycastromd.substack.com/



    Edward Marx, CEO, Advisor

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

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

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

    Special Guest:

    Andrew Kim, MD, MBA, Director of Physician Informatics, Baylor Scott & White Health

    💼LinkedIn - https://www.linkedin.com/in/andrew-kim-md-mba-65364a4/

    Visit our website:

    https://signalandsymptoms.com/

    Get advisory insights about Healthcare AI — at zero cost:

    https://junaidkaliamd.substack.com/

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    20 m
  • 71% of FDA-Approved AI May Be a Clinical Liability (Here’s Why)

    71% of FDA-Approved AI May Be a Clinical Liability (Here’s Why)
    Mar 17 2026
    When 71% of training data for FDA-approved AI comes from just three states, geographic bias shifts from a technical oversight to a direct clinical liability. To deliver on the promise of value-based care, we must move beyond "clean" academic datasets and integrate the diverse, real-world data that reflects the actual patients we serve.In this episode, Dr. Junaid Kalia and Dr. Harvey Castro sit down with Dr. Martin Willemink, a radiologist and former Stanford faculty member who transitioned into the entrepreneurial world to solve AI’s most significant bottleneck: data diversity. As a clinician-turned-founder of Segmed, Dr. Willemink provides a systematic look at why "garbage in, garbage out" is a systemic risk to patient safety and how building a more representative data pipeline is the only way to achieve true generalizability in healthcare AI. The conversation moves beyond the hype of algorithms to the "messy reality" of medicine. We explore the strategic shift from vision-only models to multimodal vision-language models (VLMs) and the emerging role of synthetic data in augmenting training sets where real-world data is scarce. What You Will Discover:- Intro: The Data Bottleneck of Healthcare AI- Dr. Willemink’s Journey- The Risk of Geographic Bias- Real-World Evidence vs. Academic Data- The Evolution of Multimodal AI- Ensuring AI Reliability across different Equipment Vendors - Navigating HIPAA compliance and "Expert Determination"- The Future of Synthetic Data- Strategic Implementation for Healthcare SystemsUltimately, solving the "data problem" is a prerequisite for clinical safety. By building representative pipelines that account for hardware heterogeneity and geographic diversity, we ensure that AI serves as a reliable extension of the clinician. This infrastructure is the only way to deliver accurate diagnostics and improved outcomes for every patient, ensuring that innovation translates into better care at the bedside rather than just a technical success in a silo.Referenced in the show:🖇️ "Geographic Distribution of US Cohorts Used to Train Deep Learning Algorithms" – https://pmc.ncbi.nlm.nih.gov/articles/PMC7509620/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 📑 Substack - https://harveycastromd.substack.com/ Edward Marx, CEO, Advisor 💼LinkedIn - https://www.linkedin.com/in/edwardmarx/ 🔗Website - https://www.marxadvisory.com/ 📹YouTube - https://www.youtube.com/@EdwardMarx Special Guest:Martin Willemink, MD, PhD, FSCCT, Co-founder & Chief Scientific Officer at Segmed💼LinkedIn - http://linkedin.com/in/martin-willemink Visit our website:https://signalandsymptoms.com/Get advisory insights about Healthcare AI — at zero cost:https://junaidkaliamd.substack.com/
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    21 m
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