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Healthcare is generating more data, evidence, and treatment options than any clinician can realistically process alone. So how can AI help? In this episode, we sit down with Gilmer Valdes, PhD, founder and CEO of OncoBrain, to explore the next generation of AI in cancer care. We discuss OncoBrain’s vision of an “Artificial Oncologist”—AI designed not simply to retrieve information, but to synthesize complex patient data and evidence to support clinical decision-making. We explore what it takes to build AI clinicians can actually trust, the limitations of today’s general-purpose models, and perhaps its greatest promise: democratizing access to world-class cancer expertise, regardless of where a patient lives or receives care. This is a conversation about how AI could fundamentally reshape cancer care—and ultimately, help save lives.

Healthcare is changing rapidly—but technology alone won't determine what comes next. In this episode, I sit down with Dr. Bill Hall, Chair of Radiation Oncology at the Medical College of Wisconsin and a nationally respected leader in academic medicine, to discuss leadership, artificial intelligence, and navigating change in healthcare. We explore the opportunities and challenges AI presents, how academic departments can prepare for the future, and what it takes to build organizations that can adapt without losing sight of their mission. We also discuss personal leadership in an age of constant distraction—how physicians can protect their attention, manage information overload, and remain focused on what matters most as AI reshapes the way we work. This is a conversation about leading through uncertainty, managing yourself amidst accelerating change, and building a career that evolves with medicine rather than reacting to it.

Medicine is changing fast—but it’s not always clear what actually matters. In this episode, I sit down with Dr. William Oh, Director of Precision Medicine at Yale Cancer Center and a nationally recognized leader in prostate cancer and clinical innovation, to cut through the noise and talk about where oncology is really headed. We get into AI, precision medicine, and the reality of implementing innovation in systems that don’t move as fast as the science. What’s real, what’s hype—and how do we think clearly in the middle of it? This is a conversation about staying grounded, leading through uncertainty, and building a career that evolves with medicine—not behind it.

In Episode 2, we sit down with Alejandro Berlin, MD, internationally recognized radiation oncologist and physician-leader at the University of Toronto, to explore how AI is reshaping the actual delivery of radiation oncology care. Building on his frontline experience integrating AI tools into contouring, planning, triage, and clinical workflow optimization, Ale walks us through what it really looks like to use AI in clinic today—not in theory, but in the chaos of real patients, real decisions, and real time pressures. We dig into where AI meaningfully improves quality, safety, and efficiency, where it still falls short, and how clinicians can stay empowered as these tools become routine. From strengthening QA pipelines to enabling new models of team-based care, Ale offers a candid, future-facing look at how AI can transform the clinic—and what it will take to make sure it elevates, rather than erodes, the human side of medicine.

In our debut episode, we sit down with Glenn Cohen, JD, Harvard Law professor and world expert in bioethics and health law, to discuss his provocative New England Journal of Medicine paper, “Medical AI and Clinician Surveillance — The Risk of Becoming Quantified Workers.” We unpack how AI tools could transform—not just patient care—but the way clinicians themselves are monitored, measured, and managed. From autonomy and accountability to bias and burnout, we explore what happens when medicine becomes datafied.