Practical AI in Healthcare

Steven Labkoff
  • 4.8 (6)
  • MEDICINE
  • UPDATED WEEKLY

AI promises to transform healthcare—but real, scalable impact remains rare. Practical AI in Healthcare cuts through the noise to showcase real-world use cases delivering business value today. Hosted by senior leaders— former VPs of life science technology groups, clinical informatics professionals from top-tier organizations, and a former Big Four consultant—each episode features candid conversations with the people making AI work inside the healthcare enterprise

  1. 2D AGO

    S1, E24 - Bob Wachter, MD | A Giant Leap: AI in Healthcare

    Bob Wachter wrote the book on the EHR disaster. Now he's written one about AI. The UCSF Chair of Medicine joins hosts Steve Labkoff and Leon Rozenblit to discuss A Giant Leap, his argument that AI doesn't need to be perfect—it needs to beat a healthcare system already failing at scale. They cover Watson's $3B collapse, why ambient scribes became AI's first clinical success story, the human-in-the-loop problem that nobody has solved, and the dangerous gap between how experts and novices use AI tools. Key topics: productivity paradox, complementary innovations, clinical decision support design, AI literacy, and the "compare me to the alternative" thesis. The link to the book can be found here: https://a.co/d/07JFNwIw

    55 min

  2. FEB 8

    S1, E23 - CHiRP: AI-Enabled Early Detection of Psychosis Risk with Amar Mandavia, PhD & Enrique "Kike" Gutiérrez, PhD

    What if early signs of psychosis could be detected from how patients speak—not what they say, but how they organize their thoughts? Amar Mandavia (VA Boston, Boston University) and Enrique "Kike" Gutiérrez (Polytechnic University of Madrid) join hosts Steve Labkoff and Leon Rozenblit to discuss CHiRP, an AI tool that identifies formal thought disorder from routine clinical conversations. They explain why the gold-standard manual test takes 5+ hours, how their system reduces that to minutes, and the hard ethical questions around labeling patients as "at risk." Key topics: prodromal psychosis detection, NLP in mental health, clinical workflow integration, MIT linQ Catalyst, and the payer challenges that make prevention hard to fund.

    45 min

  3. FEB 1

    S1, E22 - Aaron Kamauu, MD, MS, MPH | RWE Design in the Age of Data

    Real-world evidence was supposed to accelerate drug development. Instead, we've created definitional chaos—over 100 data vendors, inconsistent definitions, and studies that can't be compared. Dr. Aaron Kamauu, CEO of Navidence and co-host of Real World Wednesday, explains why one missing diagnosis code can exclude 30% of your cohort, how GLP-1 eligibility criteria vary wildly between NHS and US guidelines, and what it means to document "the seven definitions you chose NOT to use." A conversation about the unsexy infrastructure that makes evidence trustworthy.

    51 min

  4. JAN 25

    S1, E21 - Jeff Chuang, PhD, The Jackson Laboratory

    In this episode of Practical AI in Healthcare, we sit down with Dr. Jeff Chuang, a computational biologist at The Jackson Laboratory, to explore how AI is reshaping cancer diagnostics, starting with pediatric sarcoma. Jeff shares his journey from physics and protein folding to computational pathology, where machine learning is being applied to standard H&E pathology slides to deliver faster, cheaper, and more accurate diagnoses. The conversation dives into how AI models trained on relatively small but carefully curated image datasets can outperform traditional diagnostic approaches, especially in rare cancers where expertise is scarce. We also explore the challenges of data sharing, IRB approvals, and real-world deployment, along with a glimpse into the future of spatial genomics and ultra-high-resolution tissue analysis. This episode is a powerful example of how practical AI can directly improve patient care today.

    48 min

  5. JAN 18

    S1, E20 - Josh Geleris, MD, CPO, SmarterDx

    In this episode of Practical AI in Healthcare, we sit down with physician–informaticist Josh Geleris, MD, co-founder and Chief Product Officer of SmarterDx, to unpack one of healthcare’s most overlooked AI opportunities: revenue cycle intelligence. Drawing on his clinical training, deep technical background, and firsthand experience inside large health systems, Josh explains how AI can bridge the gap between clinical reality and billing documentation. The conversation explores how machine learning and large language models translate thousands of data points from an inpatient stay into accurate, compliant coding, helping health systems reduce revenue leakage while staying firmly within regulatory guardrails. From SQL queries to post-trained LLMs, Josh walks us through the evolution of SmarterDx’s AI stack and why human-in-the-loop design remains essential. This is a grounded, practical look at AI delivering real value where healthcare operations and clinical truth collide.

    52 min

  6. JAN 11

    S1, E 19 - Dr. Alvin Liu and AI Diabetic Retinopathy Screening

    In this episode of Practical AI in Healthcare, we sit down with Dr. Alvin Liu, retinal surgeon and Professor of Artificial Intelligence and Ophthalmology at Johns Hopkins University, to explore one of the earliest and most successful real-world deployments of medical AI. Dr. Liu walks us through the evolution of autonomous AI for diabetic retinopathy screening, from FDA approval to large-scale clinical implementation across health systems. We unpack what it really takes to move AI from validation to impact, including workflow integration, sensitivity and specificity tradeoffs, reimbursement challenges, and post-market monitoring. The conversation also looks ahead to emerging AI applications using retinal imaging to predict cardiovascular disease, dementia, and kidney disease at the population level. This episode is a masterclass in how AI can meaningfully improve access, equity, and outcomes in healthcare when deployed thoughtfully and responsibly.

    48 min

  7. JAN 4

    S1, E18 - Tiffany Leung, MD - Scientific Editorial Director, JMIR

    In this episode of Practical AI in Healthcare, we sit down with Dr. Tiffany Leung, Scientific Editorial Director at JMIR Publications, to explore how artificial intelligence is reshaping scientific publishing from the inside out. As open access journals face unprecedented volumes of submissions, AI is simultaneously enabling faster discovery and creating new challenges around research integrity, peer review, and trust in the scientific record. Tiffany shares how journals are adapting to generative AI tools, from policy development and disclosure norms to editorial decision support systems that help identify potential risks without stifling innovation. The conversation moves beyond hype to examine how AI can act as a co scientist, streamline editorial workflows, and potentially redefine peer review itself. This episode offers a rare look at how AI is influencing not just what gets published, but how knowledge is validated and shared globally.

    47 min

  8. 12/21/2025

    S1, E17: Kathy Roe & Kenny White: The Legal Realities of AI in Healthcare

    In this episode, Steven Labkoff and Leon Rozenblit explore the legal, regulatory, and risk-management challenges introduced by AI with two top experts in the field: Kathy Roe, Principal at Health Law Consultancy, and Kenny White, Director of the Managed Care Industry Group at Alliant Insurance Services. Together, they unpack how AI intersects with medical malpractice, product liability, HIPAA privacy, de-identification, intellectual property, contractual risk, and insurance coverage. Kathy and Kenny explain why AI is not yet the standard of care — but why clinicians and health systems must develop AI literacy now as the legal landscape evolves. A must-listen episode for healthcare leaders navigating the risks and realities of AI adoption.

    52 min
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4.8
out of 5
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About

AI promises to transform healthcare—but real, scalable impact remains rare. Practical AI in Healthcare cuts through the noise to showcase real-world use cases delivering business value today. Hosted by senior leaders— former VPs of life science technology groups, clinical informatics professionals from top-tier organizations, and a former Big Four consultant—each episode features candid conversations with the people making AI work inside the healthcare enterprise

Information

  • Creator
    Steven Labkoff
  • Years Active
    2025 - 2026
  • Episodes
    25
  • Rating
    Clean
  • Copyright
    © Steven Labkoff
  • Show Website
    Practical AI in Healthcare

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