AI and Healthcare

Ezra CEO Emi Gal breaks down how AI is revolutionizing full-body MRI cancer screening. Learn how FDA-cleared tools accelerate scan time, assist radiologists, and empower patients with easy-to-understand reports—all for just $499. Discover why early detection matters, especially for younger adults, and how Ezra is scaling access to lifesaving diagnostics.

Rajeev Ronanki, CEO of Lyric and former Elevance Health executive, unpacks what the FDA’s AI initiative—Elsa—really means for drug innovation and regulation. Rajeev outlines how the agency can use data it already has to drive smarter, faster decisions. He draws powerful parallels to autonomous vehicles and urges the FDA to embrace AI while maintaining scientific rigor.

Trust in AI cannot exist without ethics - and ethics cannot exist without confronting data bias. Discover how artificial intelligence can become a force for safety, fairness, and innovation in healthcare when designed with integrity from the ground up. In this compelling exchange, Dr. Sanjay Juneja (sjunejamd.com) interviews Rajeev Ronanki (LinkedIn), CEO of Lyric, to uncover how AI can be engineered to identify bias, self-evaluate decisions, and evolve into a trusted collaborator in clinical care. They reveal practical strategies for bias detection, the vision of an "AI Hippocratic Oath," and why ethics must precede deployment - especially in medicine. Healthcare leaders, CIOs, CMOs, engineers, and innovators will gain critical insight into governance frameworks that future-proof AI adoption.

Rajeev Ronanki, CEO of Lyric and author of You and AI, joins Dr. Sanjay Juneja to discuss a radical rethinking of payment in healthcare. Instead of upgrading legacy systems, Rajeev proposes bypassing them using trusted AI agents that mediate between EMRs and payers. They explore real-time adjudication, the importance of trust and transparency, and how scalable AI tools can serve even community clinics. Learn how AI is reshaping healthcare finance from the ground up.

AI in healthcare brings breakthroughs - but also new legal and ethical risks. Who’s responsible when an AI-assisted diagnosis leads to harm? The licensed physician? The hospital? The tool’s developer? As AI becomes embedded in clinical workflows, this question becomes unavoidable. In this conversation, Mika Newton, CEO of xCures (https://www.linkedin.com/in/mikanewton/), interviews Dr. Colleen Lyons, clinical research ethicist (https://aicommons.champlain.edu/people/colleen-p-lyons/), to unpack AI liability in modern healthcare. They explore frameworks for ethical responsibility, institutional risk, informed deployment, and the leadership competencies needed to navigate intelligent failure.

AI is reshaping clinical care, but can we apply trusted bioethical principles to its rapid adoption? This discussion explores how the Belmont Report’s three ethical pillars - autonomy, beneficence, and justice - remain essential as AI tools enter diagnosis, decision-making, and patient communication in modern healthcare. Hosted by Mika Newton, CEO of xCures, with expert insights from Dr. Colleen Lyons, a leading clinical research ethicist, the discussion covers informed consent in AI-assisted care, transparency versus explainability, and the ethical implications of asymmetrical power in AI systems. Gain a deeper understanding of how healthcare leaders can navigate AI integration while safeguarding patient rights and institutional trust.

Is AI in healthcare racing toward a crash? Discover what happens when innovation outpaces oversight, and why unchecked growth could lead to another industry meltdown. Mika Newton, CEO of xCures (https://www.linkedin.com/in/mikanewton/), and Dr. Colleen Lyons, clinical research ethicist at Champlain College (https://aicommons.champlain.edu/people/colleen-p-lyons/), unpack the consequences of deregulation and the unintended barriers of over-regulation. They explore the ethics, governance models, and leadership competencies required to navigate the volatile, uncertain, complex, and ambiguous (VUCA) world of AI-driven healthcare. Learn why compliance alone won't future-proof your organization, how to embed ethical frameworks that actually work, and how to recognize when you're stuck in a hype cycle with no real value.

AI transforms how healthcare data is structured, analyzed and applied to clinical decision-making in life sciences. Discover how leading experts harness artificial intelligence to streamline clinical workflows, enhance data quality and accelerate actionable insights for healthcare providers and diagnostic organizations. Mika Newton, CEO of xCures, and Rajiv Haravu, SVP of Product Management at IMO Health, break down practical frameworks for applying AI to complex patient records, from medical coding to interoperability strategies. Understand how AI-driven tools empower healthcare teams to navigate vast medical datasets, improve patient care pathways and support value-based care delivery.

AI is changing healthcare - but are we prepared for the hidden risks? From undermining critical thinking to damaging the human connection between providers and patients, AI’s unintended consequences deserve attention. Mika Newton (CEO, xCures) talks with Dr. Spencer Dorn (Vice Chair, UNC Department of Medicine) about the deeper risks AI poses across clinical care, system operations, and provider responsibilities. They explore overlooked dangers: the erosion of professional judgment, reliance on AI-generated summaries, and the threat to personal relationships in medicine. This is essential viewing for leaders navigating AI implementation in health systems.

Dr. Colleen Lyons, a clinical research ethicist with FDA experience, breaks down how ethics must evolve to meet the realities of AI in healthcare. From data bias to transparency, autonomy, and organizational responsibility, she offers an unflinching perspective on where we’re falling short - and what must change. Hosted by Mika Newton. Connect with Dr. Lyons: Champlain College Profile. More AI & Healthcare insights: xCures.com

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.

AI scribes are transforming how clinical notes are written, relieving physicians from time-consuming documentation and unlocking more patient-focused care. In this video, we explore what AI scribes really do, how they vary in capability, and which features actually move the needle in clinical practice. Hosted by Mika Newton, CEO of xCures (https://www.linkedin.com/in/mikanewton/), and featuring Dr. Spencer Dorn, Vice Chair & Professor of Medicine at the University of North Carolina (https://www.linkedin.com/in/spencerdorn/), the interview outlines how AI scribes differ by integration depth, impact on workflows, and their role in improving documentation accuracy, coding, and even downstream reimbursement.

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.

AI scribes promise relief from clinical documentation fatigue - but what are their limitations, hidden risks, and true return on investment? In a landscape saturated with new scribing technologies, understanding which tools integrate meaningfully with EHR systems and which merely transcribe surface-level dialogue is critical for healthcare leaders. Hosted by Mika Newton, CEO of xCures (https://www.linkedin.com/in/mikanewton/), this discussion features Dr. Spencer Dorn, Vice Chair and Professor of Medicine at UNC (https://www.linkedin.com/in/spencerdorn/), offering clear insights into how AI scribes impact physician workflow, coding accuracy, and care quality. The conversation examines where current tools fall short, highlights the importance of personalization and contextual summarization, and explores how AI may shift the clinician-patient relationship.

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.

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.