Newest Interview

Podcast episode thumbnail image With Dr. Bernardo Perez-Villa

Dr. Bernardo Perez-Villa, Senior Innovations Engagement Partner at the Cleveland Clinic, shares grounded insights into the true drivers of successful innovation in healthcare. Drawing on his global background in biodesign and commercialization, he discusses the real-world challenges of bringing AI technologies from concept to clinic. From assessing unmet clinical needs to understanding payer dynamics and regulatory bottlenecks, Perez-Villa emphasizes frameworks that distinguish viable solutions from hype. Hosted by Dr. Sanjay Juneja, this conversation unpacks the realities of product-market fit, digital health business models, and how to responsibly scale innovation without compromising on patient safety or financial sustainability.

How can artificial intelligence make full body MRI screening faster, more affordable, and more accurate? In this compelling interview, Ezra founder and CEO Emi Gal discusses how FDA-approved AI medical devices are transforming MRI scans into a powerful tool for early cancer detection. Gal outlines Ezra's three-tiered AI pipeline—enhancing image quality, assisting radiologists, and translating complex reports into plain language—to deliver a 22-minute, $499 full body MRI scan. Learn how this innovation is helping detect cancer in asymptomatic patients and why younger populations may benefit from early, proactive screening.

Podcast episode thumbnail image With Rajeev Ronanki

In this thought-provoking interview, Rajeev Ronanki, CEO of Lyric and bestselling author of You and AI, explores transformative strategies for reinventing payment in healthcare. Rather than incrementally updating legacy systems, Ronanki proposes bypassing them entirely with intelligent, AI-powered intermediaries that enable real-time data sharing between EMRs and payers. The conversation, led by Dr. Sanjay Juneja, covers administrative inefficiencies, trust-building through transparent AI, and the democratization of advanced tools for community care. The dialogue highlights the future of payer-provider collaboration, where AI acts not just as a tool but as a trusted mediator.

Podcast episode thumbnail image With Dr. Colleen Lyons

In this in-depth conversation, Dr. Colleen Lyons dives into the nuanced intersection of ethics and AI in healthcare, spotlighting overlooked risks and opportunities in today’s clinical AI tools. Drawing from her background at the FDA and in academia, she critiques the hollow nature of many "ethical AI" frameworks and calls for transparency and value-based governance over check-the-box compliance. The conversation covers the Belmont Report’s enduring relevance, AI's impact on autonomy and informed consent, and the systemic bias embedded in data. With regulatory landscapes still fragmented, Lyons argues for proactive, values-driven leadership to ensure AI adoption benefits patient care without unintended harms—particularly in vulnerable populations. If you're working at the frontline of AI implementation in provider systems or clinical operations, this episode is essential listening.

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Series Highlights

Digital twins—AI-powered models based on individual health data—are poised to transform how healthcare predicts, treats, and personalizes care. But Jason Alan Snyder, a technologist and futurist, raises powerful ethical and technical concerns about how these systems are being deployed today. Built from EHRs, lab results, wearables, and even genomics, these digital representations can simulate decisions and even replace human judgment. Yet they are often created without consent or clarity. In this clip, Snyder urges healthcare leaders to reclaim agency over the design and governance of these digital surrogates, emphasizing that the future of AI in healthcare must be rooted in truth, transparency, and trust.

Podcast episode thumbnail image With David Norris

David Norris, a lifelong technologist and healthcare innovator, unpacks why AI—especially large language models (LLMs)—is gaining rapid traction in healthcare. With decades of progress converging in recent breakthroughs, Norris outlines how AI can now handle tasks from reading faxes to calling patients about lab results. He emphasizes the practical LLM use cases in healthcare that free clinicians from administrative burdens, allowing more time for patient care. This transformation isn't about replacing jobs—it's about restoring the human connection in medicine by shifting repetitive tasks to AI. The conversation brings clarity to the real benefits of AI in healthcare and where it's headed next.

Podcast episode thumbnail image With Tom Neyarapally

What’s next for AI in drug discovery and development? Tom Neyarapally, CEO of Archetype Therapeutics, shares his outlook on how converging technologies—from LLMs to spatial omics—are reshaping how we discover and deliver drugs. He emphasizes that while AI tools are evolving rapidly, the integration of diverse data modalities and collaborative innovation between nimble startups and large pharma is essential. Neyarapally also touches on reducing late-stage trial failures and costs—key challenges that AI is finally beginning to address. For stakeholders focused on AI in drug development, this conversation offers both strategic insight and practical optimism.

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About the Series

AI and Healthcare—with Mika Newton and Dr. Sanjay Juneja is an engaging interview series featuring world-renowned leaders shaping the intersection of artificial intelligence and medicine.

Dr. Sanjay Juneja, a hematologist and medical oncologist widely recognized as “TheOncDoc,” is a trailblazer in healthcare innovation and a rising authority on the transformative role of AI in medicine.

Mika Newton is an expert in healthcare data management, with a focus on data completeness and universality. Mika is on the editorial board of AI in Precision Oncology and is no stranger to bringing transformative technologies to market and fostering innovation.

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