AI and Healthcare

AI Is Changing Healthcare — But At What Cost?

AI is transforming healthcare at an unprecedented pace—but the biggest risks aren’t clinical, they’re legal, operational, and systemic. From data center infrastructure and environmental impact to reimbursement shifts and agentic AI workflows, the stakes are rising fast. New models from major tech players are poised to influence care delivery—and even get reimbursed based on outcomes—raising critical questions about ownership, liability, and control. Where does responsibility fall when AI drives decisions? How should hospitals evaluate vendors, data sources, and infrastructure risks? And what happens when automation outpaces regulation?

What Clinical AI Is Doing Well... and Where It Still Needs Work

AI is making remarkable progress in healthcare — but translating that progress into real clinical impact is more complex than it seems. In this episode, we break down the State of Clinical AI in 2026, separating signal from noise and exploring what’s actually working today.

Why Most AI Startups Fail in Healthcare

AI is exploding in healthcare — but most startups still fail. In this episode of the AI & Healthcare Podcast, Dr. Sanjay Juneja speaks with innovation leaders Dr. Bernardo Perez-Villa and Dr. Peter Alperin about the reality of building successful medical technology in 2026. Hundreds of AI tools have FDA clearance, billions have been invested in digital health, and yet hospitals still struggle to adopt new technology. Why?

The Payment Crisis Behind Healthcare

Care is delivered every day in American hospitals, but getting paid for that care has become a battle. Denials, prior authorization, billing complexity, and rising costs have created a financial crisis behind the scenes of modern medicine. Insurance companies use automation to control payments, while hospitals struggle to keep up. Now AI is entering the fight. Dr. Sanjay Juneja and Dr. Douglas Flora speak with Monique Lappas, Founder and CEO of Qualify Health, about the growing war over who pays for care and how intelligent automation is helping providers recover lost revenue, reduce patient debt, and keep hospitals from closing.

How AI Creates Precision in Mental Health Care

Mental health is now central to high-quality cancer care, yet access, diagnostic precision, and scalability remain major gaps. In this in-depth discussion, clinical and innovation leaders explore how artificial intelligence can shift mental health care from reactive support to precision-driven, proactive intervention. The conversation examines AI as a clinical signal amplifier that enhances human judgment without replacing it. Topics include objective diagnostics, functional brain mapping, digital phenotyping, therapeutic bots, longitudinal monitoring, and how AI can better match patients to the right level of care at the right time. The discussion also addresses real-world implementation challenges in oncology and health systems, including workforce shortages, equity, and clinical oversight.

Clinical AI Governance: What Clinicians Must Know in 2026

AI in healthcare is accelerating fast—but adoption without governance is risk. In this conversation, oncology and health policy leaders break down how clinicians and health systems should evaluate emerging AI tools: what FDA clearance vs approval really means, why “not FDA-approved” doesn’t automatically mean unsafe, and how laboratory-developed tests (LDTs) are already embedded in everyday care. We also explore real-world evidence, model drift, and why implementation—not innovation—is the true bottleneck for safe scale. If you’re assessing AI in imaging, diagnostics, clinical decision support, or workflow automation, this is your framework for asking smarter questions and protecting patients.

How Digital Twins Could End Medical Guesswork

Digital twins are moving from engineering into healthcare and the implications are profound. From oncology decision-making to clinical trials and personalized medicine, virtual human twins could reshape how clinicians predict outcomes, reduce toxicity, and tailor treatment. Dr. Sanjay Juneja and Dr. Doug Flora are joined by digital twin leaders Jim St. Clair and Professor James Fargason to explore how real-time data, AI, and system-level modeling can move medicine beyond population averages toward individualized care. This conversation unpacks what a true digital twin requires, why data quality and interoperability matter, and how digital twins may accelerate drug development, improve trial design, and reduce moral injury for clinicians.

How Wearables Are Transforming Oncology Care

Continuous monitoring is reshaping oncology. CEO of AION Biosystems, Sam Barend, joins Dr. Sanjay Juneja, Dr. Douglas Flora, and Dr. David Penberthy to explore how long‑term physiologic tracking, AI‑driven insights, and clinically validated wearables are improving outcomes for patients at high risk of complications. The conversation highlights FDA pathways, reimbursement realities, and the promise of simpler, signal‑focused monitoring that detects patterns earlier and supports safer treatment continuity.