AI and Healthcare

Regulation vs Deregulation of AI in Healthcare

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.

How is AI used in Life sciences?

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.

What are the risks of using AI in healthcare?

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.

Ethics and AI in Healthcare: A Hard Look Inside - with Dr. Colleen Lyons [FULL PODCAST]

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

What tasks can AI help doctors with? - with Mika Newton

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.

What are AI Scribes? - with Mika Newton

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.

What is the role of data in surgery outcomes? - with Dr. Sanjay Juneja

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.

How can OCT technology help reduce healthcare costs? - with Dr. Sanjay Juneja

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.