x

75% of people globally want unbiased news (Pew Research) but are concerned they're not getting that.

Get balanced coverage with Symby. See how stories are covered across diverse outlets and spot when one side covers a story the other skips.

PODCAST

Practical AI in Healthcare

Steven Labkoff, MD and Leon Rozenblit, JD, PhD

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

health & fitness medicine

All Episodes

00:56:47

S1, E34 - Matt Truppo, PhD, Part 2: AI-Driven Drug...

Practical AI in Healthcare ·

2026/04/26

In Part 2 of our conversation with Matt Truppo, Global Head of Research Platforms and Computational R&D at Sanofi, we move from discovery to development, where the real stakes begin. Matt unpacks the promise and limitations of “digital patient twins,” a concept often described as the holy grail of drug development. With nearly 90% of drugs failing in clinical trials, even modest gains in predicting efficacy or patient response could transform the industry. Through real-world examples, including

en

00:48:25

S1, E33 - Ted Shortliffe, MD, PhD: 50 Years of...

Practical AI in Healthcare ·

2026/04/19

Ted Shortliffe built MYCIN at Stanford in the 1970s, one of the first medical AI systems ever deployed in a clinical setting. Five decades later, he joins Steve and Leon to examine what has persisted in clinical decision support — above all, the demand for explainability — what has changed (computational power finally caught up to the ideas), and what the field may have lost along the way. The conversation includes a direct response to Bob Wachter's claim from S1E24 that AI in healthcare decision

en

00:52:33

S1, E32 - Matt Truppo, PhD: AI-Driven Drug Discovery...

Practical AI in Healthcare ·

2026/04/12

AI in drug discovery has been long on promise and short on delivery. Matt Truppo, Global Head of Research Platforms and Computational R&D at Sanofi, presents a different picture. His team used AI to identify 10+ novel drug targets in 12 months, screen 30 million target combinations in days, and produce AI-designed compounds with 75% synthesizability. But Truppo is equally candid about the gaps: data integration, explainability, and change management remain real barriers. In Part 1 of this

en

00:51:42

S1, E31 - Reflections 4: What Does the Infrastructure...

Practical AI in Healthcare ·

2026/04/05

Every five episodes, Steve and Leon step back to examine what picture forms when you put their guest conversations side by side. This time, five guests from completely different healthcare domains -- data quality, clinical trials, medical translation, patient data, participatory medicine -- independently converged on the same conclusion: the AI works; the infrastructure around it doesn't yet. From Charlie Harp's data quality metrics to Adam Blum's 60-to-90% scaffolding story to Amy

en

00:58:57

S1, E30 - Amy Price: Patient Advocacy, Participatory...

Practical AI in Healthcare ·

2026/03/29

Amy Price survived a car accident that left her with a broken neck, severe brain injury, and $4 million in medical bills. She was told she'd need to be institutionalized. Instead, she earned a DPhil at Oxford and became Editor-in-Chief of the Journal of Participatory Medicine. In this episode, Amy sits down with Leon to discuss why patients belong inside the AI design process, what it really means to have a "knowledgeable human who cares" in the loop, and why healthcare AI is an

en

00:53:37

S1, E29 - Shashi Shankar, Co-founder & CEO, Novellia,...

Practical AI in Healthcare ·

2026/03/22

Shashi Shankar spent nearly a decade at Genentech before a family cancer journey and a broken data landscape pushed him to build something different. His company Novellia works directly with patients — not data brokers — to collect and consolidate health records across multiple providers using SMART on FHIR. The result: longitudinal, patient-authorized real-world data that fills the gaps left by claims databases, single-site EMRs, and health information exchanges. We explore why previous PHR

en

00:50:37

S1, E28 - Adam Blum: AI-Powered Clinical Trial Matching

Practical AI in Healthcare ·

2026/03/15

When Adam Blum was diagnosed with follicular lymphoma, he tried over a dozen commercial trial matchers. None returned actual matches. So the serial AI entrepreneur built CancerBot, a free precision-matching service that assesses 100% of eligibility criteria — not the five surface-level attributes most matchers use. On this episode, Blum explains the Prompt Workbench (where biomedical experts refine extraction prompts to above 90% accuracy), how conjunctive normal form makes complex eligibility logic

en

00:48:28

S1, E27 - Charlie Harp, Healthcare Data Quality and...

Practical AI in Healthcare ·

2026/03/08

For 37 years, Charlie Harp heard the same thing from healthcare organizations: "Our data quality is fine." They were right — for billing and scheduling. But AI changed the equation. Harp, founder of Clinical Architecture, built the PIQI framework to measure patient data quality across four dimensions: availability, accuracy, conformance, and plausibility. His PIQXL Gateway scores data on a 1-100 scale before it enters your systems — not after. Early deployments reveal uncomfortable truths:

en

00:45:40

S1, E26 - Discharge Planning Translation Services...

Practical AI in Healthcare ·

2026/03/01

Every day, patients leave US hospitals with discharge instructions they can't read. Giovanni Donatelli, CEO of The Language Group, built FETCH — a patented AI system embedded in Epic that translates discharge documents in 15 minutes with human review. He did it because he was the 8-year-old interpreting for his immigrant parents at doctor's appointments. Hosts Steve Labkoff and Leon Rozenblit explore the discharge instruction gap, the tragic cases that make it personal, FETCH's

en

00:45:48

S1, E25 - Reflections 3: What Happens When Principles...

Practical AI in Healthcare ·

2026/02/22

Steve and Leon have reviewed blocks of guest episodes twice before on Practical AI in Healthcare. Both times the themes snapped into place. This time they didn't -- and the disagreement between them became the episode. Across five recent conversations, they found stories that kept spilling past the edges of their framework: AI that works but can't get paid, laws that already apply but nobody realizes it, and a scientific record under threat from AI-generated paper mills. The hosts'

en

00:54:52

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

Practical AI in Healthcare ·

2026/02/15

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

en

00:45:24

S1, E23 - CHiRP: AI-Enabled Early Detection of...

Practical AI in Healthcare ·

2026/02/08

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

en

00:50:42

S1, E22 - Aaron Kamauu, MD, MS, MPH | RWE Design in...

Practical AI in Healthcare ·

2026/02/01

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

en

00:48:17

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

Practical AI in Healthcare ·

2026/01/25

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

en

00:51:42

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

Practical AI in Healthcare ·

2026/01/18

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

en

00:48:09

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

Practical AI in Healthcare ·

2026/01/11

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

en

00:47:24

S1, E18 - Tiffany Leung, MD - Scientific Editorial...

Practical AI in Healthcare ·

2026/01/04

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

en

00:52:17

S1, E17: Kathy Roe & Kenny White: The Legal Realities...

Practical AI in Healthcare ·

2025/12/21

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

en

00:48:46

S1, E16: Reflections II - Episodes 9-15

Practical AI in Healthcare ·

2025/12/14

In our second Reflections episode, Steve Labkoff and Leon Rozenblit synthesize the most meaningful insights from guests across Episodes 9–15. Drawing on conversations with Orr Inbar, Martin Leach, Ing Ho, Yuri Quintana, and patient advocate E-Patient Dave, this episode highlights the themes shaping practical AI adoption in today’s healthcare landscape.Key topics include the inflection point AI has created across clinical care, research, and patient engagement; the need for stronger data stewardship

en

00:43:09

S1, E15 - Adam Rodman: Rethinking Clinical Reasoning...

Practical AI in Healthcare ·

2025/12/07

We just released one of the most intellectually energizing conversations we’ve had on Practical AI in Healthcare. Our guest this week is Dr. Adam Rodman, physician, informatician, historian of medicine, and one of the most original thinkers at the intersection of AI and clinical reasoning.Adam brings a rare perspective to the field: before becoming an AI researcher, he spent years studying how humans make medical decisions — how clinicians reason, where cognition breaks down, and how technology

en

35 results

Similar Podcasts

Доктор Тройняшкин

Доктор Тройняшкин

The Dry Eye Treatment PODCAST

Dry Eye Treatment

Différent et alors ?

PATRICK SULAY

Kyle Kingsbury Podcast

Kyle Kingsbury

The Real Weight Loss Coach

Matty Lansdown