AI and Healthcare

AI is transforming how clinicians handle information, starting with one of the most urgent issues in healthcare: too few providers, too much data, and not enough time. This conversation explores how AI can support physicians by summarizing patient records and medical literature, reducing burnout, and improving clinical decision-making. Hosted by Mika Newton, CEO of xCures (https://www.linkedin.com/in/mikanewton/), the interview features Dr. Spencer Dorn, Vice Chair & Professor of Medicine at the University of North Carolina (https://www.linkedin.com/in/spencerdorn/). He shares powerful insights into AI’s current and future role in healthcare delivery—beyond scribing—to information synthesis, predictive analytics, and ultimately better clinical decisions.

Join Dr. Spencer Dorn, Vice Chair & Professor of Medicine at UNC, as he dives into the world of AI scribes that are revolutionizing clinical documentation. Discover how these technologies reduce paperwork, enabling more patient-centered care. Spencer sheds light on the varying capabilities of AI scribes, from basic note-taking to advanced integration that enhances clinical decision-making. He also discusses the financial implications, including improved documentation accuracy and the potential for better reimbursement in healthcare.

Precision in surgery doesn’t start in the operating room - it starts with the data. Learn how advanced imaging, outcome-linked datasets, and AI-driven insights are reshaping surgical decisions and reducing repeat procedures. Dr. Sanjay Juneja speaks with Adrian Mendes, CEO at Perimeter Medical Imaging AI, to explore the critical relationship between imaging data and post-surgical outcomes in breast cancer care. They break down how image-based machine learning models improve real-time margin assessment, lower costs, and lead to better patient results.

Missed margins and repeat surgeries drive up healthcare costs and stretch critical resources. OCT technology offers a path to smarter imaging and fewer reoperations, cutting costs while improving outcomes. Dr. Sanjay Juneja hosts Adrian Mendes, CEO of Perimeter Medical Imaging AI, to unpack how intraoperative OCT can drastically lower re-excision rates in breast cancer surgery. They explore the ripple effect this has on healthcare economics - from reduced OR time and insurance payouts to stronger patient survival rates. You’ll learn how data-backed imaging aligns both clinical and financial priorities.

In this intriguing discussion, Dr. Spencer Dorn, Vice Chair and Professor of Medicine at UNC, sheds light on the evolving role of AI scribes in healthcare. He delves into their potential to alleviate documentation fatigue while highlighting their limitations and hidden risks. The conversation emphasizes the critical need for personalization in AI tools and the impact on clinician-patient relationships. Furthermore, they explore how integrating AI can enhance clinical decision-making and improve care quality, without compromising the safety and accountability essential in healthcare.

Healthcare is shifting fast. If you’re not actively learning how to use AI, you're already behind. This discussion reveals how to get the most value out of AI in clinical care, even if you're just starting. Host Dr. Sanjay Juneja (https://sjunejamd.com) sits down with physician-entrepreneur Dr. Harvey Castro (https://www.linkedin.com/in/harveycastromd/) to unpack the critical steps healthcare professionals can take right now to stay relevant and lead with AI. They discuss how to build your AI fluency, what content to follow, how to vet sources, and why a passion for patient care should drive your tech adoption. This is essential viewing for clinical leaders, health IT teams, diagnostics innovators, and telehealth executives ready to make informed decisions in a data-driven world.

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.

Dr. Harvey Castro, a physician with an MBA and healthcare advisor for Singapore, joins Dr. Sanjay Juneja to discuss how AI can alleviate the healthcare worker shortage. They explore how robotic support can reduce strain on nurses and tools like ambient scribing can ease administrative burdens. The conversation highlights real-world applications of AI in diagnostics and home-based monitoring, emphasizing a future where healthcare professionals connect more with patients and less with paperwork. Ethical considerations and improving patient care through continuous understanding are also key topics.

Explore how agentic AI is revolutionizing clinical workflows with digital twins of healthcare professionals. This technology enhances decision-making, reduces bottlenecks, and broadens access to expertise across various healthcare settings. Insights into its integration with wearables show the potential for improved emergency care and quicker lab result analysis. The shift towards scalable AI agents promises to boost operational efficiency while maintaining the essential human touch in patient care.

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.