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.
With Emi Gal
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.
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.
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.
With Dr. Spencer Dorn
AI Scribes: Help or Risky? The rapid rise of AI scribes in healthcare raises urgent questions about accuracy, efficiency, and responsibility. Are these tools solving documentation burnout but introducing new risks?
- Dr. Spencer Dorn, Vice Chair at UNC Medicine, explains what AI scribes do, and don’t deliver
- Reveals how EHR integration defines value
- Discusses financial ROI and physician burnout
- Flags emerging risks in medical records and trust
Watch now for expert insight into where AI scribes truly help, and where they fall short.
Inside Surgical AI: How Artificial Intelligence Is Enhancing Breast-Conserving Surgery
Discover how Inside Surgical AI reveals the practical use of artificial intelligence to reduce repeat surgeries, improve precision, and optimize outcomes in breast-conserving cancer care.
- Adrian Mendes, CEO of Perimeter Medical Imaging, shares insights from 1,700+ surgical cases
- Learn how OCT imaging and AI assist margin assessment
- Understand the cost savings and payer appeal
- Explore broader impact on access to care in underserved regions
Watch now to see how surgical AI delivers real clinical value.
AI Agents Explained: In this expert-led interview, Dr. Harvey Castro breaks down how AI agents are reshaping clinical workflows, accelerating decisions, and improving outcomes in real healthcare settings.
- Understand what “agentic AI” really means for healthcare
- Learn how digital twins support personalized care
- Explore whether to build or buy AI systems
- Discover real use cases from emergency rooms to telehealth
Dr. Castro offers actionable insights and real-world clarity. Watch now to see where clinical innovation is heading.
AI is transforming healthcare by finding life-saving treatments hidden within existing drugs. Dr. David Fajgenbaum shares how his nonprofit Every Cure is uncovering overlooked therapies with AI.
- How drug repurposing works
- Why financial barriers stall discoveries
- How AI-driven prediction models find treatments
- The role of open-source data in healthcare
Discover how innovation and action can save lives. Watch now to see why AI matters.
Why AI alone can’t fix healthcare’s data mess. That’s the hard truth revealed by Rajiv Haravu, SVP of Product Management at IMO Health, in this critical interview with xCures CEO Mika Newton.
- Understand why AI isn’t enough to clean clinical data
- Explore the limits of LLMs in healthcare workflows
- Learn about the role of NLP and human expertise
- Discover how precision sets improve data quality
🎥 Watch now to see why real solutions go beyond buzzwords, and what truly enables smarter, safer healthcare decisions.
What if your smartwatch could spot a heart issue before symptoms start? Dr. Euan Ashley shares how AI and wearables like the Apple Watch are shifting healthcare from reactive to proactive, catching conditions early, redefining “normal,” and freeing doctors to focus more on patients. From silent strokes to personalized prevention, this is a look at the future of medicine, and what your heart might already be telling you.
AI is shaping healthcare decisions, often without us realizing it, by creating digital twins powered by our health data. Jason Alan Snyder from Super Truth explains how this data is used to build these systems, why bad data leads to bad outcomes, and how we can take control of our own information. This eye-opening conversation reveals what’s happening behind the scenes in healthcare and why it impacts all of us.
Healthcare costs are rising, and AI can be the key to fixing the system. Beyond improving patient care, AI has the potential to reduce administrative burdens, streamline workflows, and lower overall costs. Dr. Alister Martin has spent years at the intersection of medicine and social change, exploring how technology can make healthcare more efficient and accessible. This conversation looks at how AI-driven solutions can address both the financial and social challenges facing healthcare.
The future of healthcare is evolving fast, with AI and digital tools transforming patient care. Pelu Tran shares insights on how technology is improving clinical workflows, making healthcare more accessible, and reshaping the role of doctors. We also explore the challenges of integration, the balance between automation and human expertise, and what the next decade could look like for both patients and medical professionals.
Lab results can be complex, but AI is changing how we interpret data and improve patient care. Dr. Sanjay Juneja and David Norris discuss how AI reduces administrative burdens, detects conditions like iron deficiency, and optimizes workflows. They explore how automation helps doctors focus more on patients, easing burnout and strengthening provider-patient relationships. As AI reshapes healthcare, its benefits, challenges, and ethical concerns continue to evolve.
AI is transforming healthcare, but where does it fall short? Mika Newton talks with Krish Ramadurai from AIX Ventures about AI’s role in clinical workflows, drug discovery, and full-stack biotech companies. They explore the challenges of integration, the need for domain expertise, and the push for automation in clinical development. Plus, they discuss regulatory hurdles and what investors seek in AI-driven healthcare. Tune in for key insights into the future of AI in healthcare.
Dr. Sanjay Juneja and Dr. Azra Raza discuss AI and technology’s role in early cancer detection. Dr. Raza shares insights on continuous monitoring, innovative screening, and the shift to detecting cancer at the "first cell stage." She explores her journey from pediatric oncology to building a vast tissue repository and how AI-powered implantable devices could transform healthcare. This episode highlights the need for proactive cancer care and a focus on early detection.
Mika Newton talks with Dr. Nigam Shah, Stanford professor and Chief Data Scientist, about AI in healthcare. They discuss AI’s sustainability, regulatory challenges, and the need for localized validation. The conversation explores how AI can improve clinical decision-making, optimize resources, and expand patient access while addressing implementation and data-sharing barriers.
This episode explores AI's role in healthcare, focusing on drug repurposing, data sharing challenges, and regulatory barriers. Mika Newton and Bob Battista discuss how AI can enhance clinical decision-making, improve patient access to treatments, and streamline medical records. They also address privacy laws, governance, and the potential for AI to transform healthcare by making critical knowledge more accessible.
Mika Newton and Tom Neyarapally discuss how AI is changing the landscape of drug discovery. They examine the role of machine learning, patient data, and computational tools in accelerating the process, reducing costs, and improving the chances of developing effective treatments. The conversation covers how AI-driven screening, drug repurposing, and real-world data integration are helping to overcome traditional challenges in bringing new therapies to patients faster.
In this episode, Dr. Sanjay Juneja and Dr. Debra Patt discuss AI in healthcare. They cover its applications in cancer care, from improving diagnostics and treatment decisions to enhancing patient education and real-time symptom management. The conversation also highlights AI's potential in drug discovery, reducing healthcare costs, optimizing administrative workflows, and addressing the challenges of data integration and biases in AI systems.
