AI-assisted imaging is enhancing the precision of breast-conserving surgery by enabling surgeons to reduce re-excisions, preserve healthy tissue, and make more informed intraoperative decisions. Learn how real-time AI models trained on high-resolution optical coherence tomography (OCT) images are transforming how clean margins are assessed during lumpectomies. Adrian Mendes, CEO of Perimeter Medical Imaging, joins Dr. Sanjay Juneja, The OncDoc, to unpack the technological, clinical, and operational implications of using AI to support breast cancer surgery. They cover practical use cases, data strategy, FDA pathways, and cost-savings that matter to hospitals, payers, and diagnostic partners. If you're a provider, technologist, or decision-maker looking to scale smarter surgical care, listen now for valuable insight into what’s next in surgical AI.

AI isn’t replacing healthcare workers - it’s preserving the workforce and extending its reach. From robotic support that reduces physical strain on aging nurses to ambient scribing that eliminates after-hours charting, AI is stepping in where capacity is stretched thin. This conversation explores how AI tools are already shifting care models, enabling clinicians to manage more patients with greater precision and less burnout. Dr. Sanjay Juneja interviews Dr. Harvey Castro, MD, MBA, about practical, near-term applications of AI across clinical environments, including diagnostics, home-based monitoring, and decision support. They discuss real use cases, ethical implications, and a future where physicians spend more time connecting with patients - not keyboards.

Discover how agentic AI is transforming clinical workflows by enabling intelligent digital twins of healthcare professionals that learn, adapt, and act autonomously. This breakthrough supports faster decision-making, reduces bottlenecks, and expands the reach of clinical expertise across provider systems, telehealth, labs, and diagnostic settings. Dr. Sanjay Juneja hosts Dr. Harvey Castro, who explores how agentic systems integrate with wearables, streamline emergency care, and deliver timely medical insights. You’ll learn how scalable AI agents enhance operational efficiency and knowledge-sharing without compromising the human touch.

Healthcare systems face a critical question: build custom AI tools tailored to their workflows, or buy ready-made solutions? This video unpacks the operational, financial, and clinical factors that inform that decision, including insights on cost, customization, integration, and innovation in patient-centered AI. Dr. Sanjay Juneja (https://sjunejamd.com/) interviews Dr. Harvey Castro (https://www.linkedin.com/in/harveycastromd/) to explore the nuances of AI adoption in hospital systems. They break down the value of federated learning, ambient scribe technologies, cultural considerations in care, and how to ensure AI models support rather than replace clinical decision-making. If you're in health system leadership, clinical informatics, operations, or product strategy, this discussion offers frameworks to guide smarter, sustainable AI investments.

AI agents are changing how clinical decisions are made, workflows are optimized, and care is delivered across hospitals, labs, and telehealth systems. Learn how these tools can scale medical expertise, streamline bottlenecks, and improve patient outcomes—without replacing the human element. Hosted by Dr. Sanjay Juneja and featuring expert insights from Dr. Harvey Castro, this interview explains how digital twins, ambient AI, and agentic systems can support clinical judgment, reduce burnout, and personalize care at scale. You’ll also hear practical guidance on whether to build or buy AI tools, how to structure healthcare-specific data, and what integration actually looks like in high-pressure environments. If you’re in healthcare leadership, IT, operations, or product development, this discussion provides frameworks and real-world examples you can act on now.

AI is reshaping rare disease treatments by accelerating drug repurposing, identifying therapeutic opportunities, and unlocking actionable insights hidden in clinical data. Discover how innovative frameworks and technology platforms are helping healthcare leaders, diagnostic companies, and telehealth providers uncover new treatment pathways faster and more efficiently. Dr. Sanjay Juneja (https://sjunejamd.com/) speaks with Dr. David Fajgenbaum (https://www.linkedin.com/in/davidfajgenbaum) about the ethical imperative of using AI-driven drug repurposing to address underserved rare conditions and the growing potential to surface overlooked therapies. Gain practical insights on decision-making, data analysis, and scalable solutions that can impact patient care.

Unlock faster, smarter drug repurposing with open-source data that arms clinicians and researchers with actionable insights. This discussion explores how cutting-edge AI and knowledge graphs are transforming access to potential therapies by ranking 4,000 approved drugs against thousands of diseases - all in record time. Host Dr. Sanjay Juneja speaks with Dr. David Fajgenbaum, Co-founder of Every Cure, to reveal how their platform delivers 75 million computed drug-disease scores directly into the hands of healthcare providers worldwide. Learn how this approach accelerates clinical decision-making, supports evidence-based research, and breaks down barriers to innovative care strategies.

AI prediction is transforming patient care by accelerating how life-saving treatments are identified, repurposed, and delivered to those in need. Discover how cutting-edge data analysis can uncover overlooked therapies and drive faster clinical decisions that impact real-world outcomes. Dr. Sanjay Juneja interviews Dr. David Fajgenbaum, co-founder of Every Cure, to reveal actionable strategies for leveraging artificial intelligence in healthcare systems. Learn how AI-powered frameworks are optimizing treatment selection, guiding clinical workflows, and informing executive decisions across provider networks, telehealth, laboratories, and diagnostics.

The idea that artificial intelligence can uncover life-saving treatments hidden in plain sight is no longer science fiction. In a healthcare system that often favors costly innovation over accessible solutions, using AI to repurpose existing drugs offers a path to faster, affordable breakthroughs. Join Dr. Sanjay Juneja and Dr. David Fajgenbaum, co-founder of Every Cure, as they reveal how AI is accelerating the identification of overlooked therapies for rare and complex diseases. Learn about the critical frameworks behind drug repurposing, how predictive models like Matrix are reshaping disease treatment, and why open-source collaboration could transform healthcare delivery. If you are a physician, healthcare executive, engineer, or healthcare IT leader, this discussion offers essential insights into the future of clinical decision-making.

Accurate clinical insights depend on more than just throwing a large language model at a problem. Data normalization and structured medical concepts shape how AI delivers precision in healthcare coding, clinical decision support, and patient care. Mika Newton, CEO of xCures, and Rajiv Haravu unpack how proprietary medical content, editorial policies, and knowledge graphs provide essential context that LLMs alone cannot offer. Learn why healthcare organizations still rely on medical code sets for reimbursement, accurate ICD-10 coding, and decision-making workflows - and how AI-driven agents may soon accelerate ontology creation, dictionary migration, and terminology mapping. Discover actionable frameworks and expert perspectives on leveraging AI in clinical environments to minimize hallucinations, enhance accuracy, and maintain relevance in a rapidly evolving healthcare landscape.