AI and Healthcare

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.

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.

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.

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.

Cancer care isn't what it used to be—and that's exactly why Dr. Douglas Flora just wrote a book about it. Are you ready to understand how AI is transforming oncology? In this episode of AI and Healthcare, host Dr. Sanjay Juneja and co-hosts Dr. Douglas Flora and Dr. Deborah Pat are joined by special guest Dr. Chadi Nabhan—author, educator, and passionate advocate for cancer education—to discuss Doug's newly released book on AI in cancer care, currently #1 in oncology on Amazon. Doug wrote it because he feels "desperate" to share how dramatically cancer treatment is changing. The physicians reflect on how far oncology has come from mixing chemotherapy by hand to AI-powered precision medicine. Whether you're a healthcare professional, cancer survivor, or curious about AI in medicine, this conversation offers an honest look at where oncology is headed. New episodes every two weeks.

AI is changing everything from policy to the patient room. In this AI&H roundtable, Dr. Doug Flora, a leading voice in oncology innovation, joins Dr. Sanjay Juneja, Dr. Debra Patt, and Mika Newton to tackle what’s really holding back AI adoption in healthcare. They explore Medicare’s AI prior auth model, the role of clinical decision support, and why strong change management is the linchpin of real progress. Dr. Flora shares leadership lessons and insights from the front lines.

Healthcare is shifting fast, and AI is at the center of the storm. In this powerful roundtable, Dr. Sanjay Juneja hosts xCures CEO Mika Newton, Dr. Debra Patt of Texas Oncology, and Dr. Jason Hill of Ochsner Health to break down how AI is already reshaping access, risk, and care delivery. From ambient scribes to open-source models, from liability concerns to mental health triage—this conversation covers what matters.

What is patient design, and why does it matter in modern healthcare? Dr. Bertalan Meskó, Director of The Medical Futurist Institute, explains why patient involvement is critical to innovation and trust. Patient-centered design shifts the model from making decisions for patients to making decisions with them. This co-creation approach ensures better outcomes and more effective digital health solutions.

Could AI soon become a required element of value-based care? Dr. Stephen Speicher from Flatiron Health explores a near-future scenario where insurers may require AI tools to be used in clinical workflows to qualify for reimbursement. In this forward-looking discussion, Dr. Speicher breaks down how AI could be both a cost burden and a quality catalyst—and why its integration into value-based care models might become non-negotiable.

Should patients be able to opt out of AI in their care? Dr. Stephen Speicher, Head of Clinical Oncology and Safety at Flatiron Health, dives into the evolving ethics of informed consent as AI becomes increasingly embedded in medical workflows. From regulatory trends to future standards of care, he examines how clinicians and patients can navigate transparency, autonomy, and shared responsibility.

What if your future self could guide your decisions today? Dr. Bertalan Mesko, Director of The Medical Futurist Institute, shares a surprisingly effective strategy: vision writing. By imagining yourself in the future and striking “deals” with future versions of yourself, you can create emotional clarity and motivation in the present.

Predictive AI and wearable tech are changing healthcare from reactive to proactive. This clip explores how real-time data and AI models can detect illness before symptoms emerge. Jordan Johnson of Bridge Oncology and Dr. Sanjay Juneja discuss the future of medicine—from CMS reimbursements to remote monitoring and predictive diagnostics.

What will the future of healthcare really look like? Medical futurist Dr. Bertalan Meskó reveals how foresight, patient design, and prompt engineering are reshaping the landscape of care. In this interview with oncologist Dr. Sanjay Juneja, learn how to prepare for multiple futures, integrate AI tools effectively, and lead cultural change in medicine.

Should AI in health records be considered a medical device? Emily Lewis, an AI thought leader, compares the U.S. FDA and U.K. NHS approaches to AI regulation in healthcare. She shares how global discrepancies affect responsible AI implementation and what leaders must do to stay compliant. Discover why local adaptation and ongoing education are critical.

Interoperability isn’t just a buzzword—it’s a broken promise. Jordan Johnson, founder of Bridge Oncology, explains how fragmented systems, outdated data, and lack of standardization are driving financial loss and patient harm. From mismatched EMRs to payer confusion, this interview exposes the operational and policy-level stakes.

How do we make healthcare AI both safe and scalable? Dr. Stephen Speicher, Head of Clinical Oncology and Safety at Flatiron Health, shares how responsibility for AI safety must be shared across developers, deployers, clinicians, and health systems. He breaks down use-case-specific risks, informed consent challenges, and the risk of widening healthcare inequities.

Why are digital health companies still struggling to connect with EHRs—even after federal mandates? Dr. Ben Rosner breaks down results from a national survey exploring API integration challenges, from proprietary workarounds to endpoint confusion. He also previews a new survey aimed at measuring real progress since the 21st Century Cures Act.

Healthcare data interoperability isn’t just about EMRs—it’s about patient survival, equity, and system sustainability. Jordan Johnson, MSHA, Founder of Bridge Oncology, breaks down the true scope of interoperability, from payer systems to AI-enabled radiotherapy. In this dynamic conversation with Dr. Sanjay Juneja, they explore how structured data, legal frameworks, and real-time analytics can reshape value-based care and prevent patient harm.

Is AI helping—or harming—the next generation of doctors? UCSF's Dr. Ben Rosner shares how AI is reshaping medical education in 2025. From tutor bots to clinical skill assessments, he explores the opportunities and pitfalls. Discover what 'de-skilling' means, and why educators need smart guardrails to guide AI integration.

AI is transforming discharge documentation. Dr. Ben Rosner of UCSF breaks down how large language models (LLMs) perform compared to physicians—and what that means for safety, education, and clinical workflows. Learn what “LLM as jury” could mean for quality control and how AI might de-skill future doctors if we're not careful.

AI is no longer just for clinicians. Emily Lewis, an AI thought leader, explains how AI is becoming a partner in patient care. From gamified self-care tools to multimodal education, she breaks down how technology can foster better communication and empower patients to take control of their health. She also explores the regulatory and data challenges involved in scaling AI for patient use. Featuring Dr. Sanjay Juneja. Learn more about Emily: https://www.udemy.com/user/emily-lewis-77/ Host: https://sjunejamd.com/ "Views expressed by Dr. Juneja and Emily Lewis are solely their own and are not attributable to xCures, Tempus, or any of our guest's affiliations."

Disruptive innovation isn’t always what it seems—especially in healthcare. Bernardo Perez-Villa, Senior Innovations Engagement Partner at the Cleveland Clinic, shares a revealing look at the myths behind “first-in-class” innovation. Learn how startups create disruption, why big players wait to buy instead of build, and how to use Christensen’s framework to identify true disruption.

Why do so many digital health startups collapse? Dr. Bernardo Perez-Villa explains how a lack of real market validation derails innovation before it starts. Learn how to perform meaningful primary and secondary market research—from asking the right questions to clinicians to scanning Reddit and PubMed for real-world proof of need.

What separates scalable healthcare AI from hype? Dr. Bernardo Perez-Villa, Cleveland Clinic's Senior Innovations Engagement Partner, breaks down how to validate AI ideas, assess product-market fit, and build business models that survive reimbursement hurdles. Hosted by Dr. Sanjay Juneja.

Why rely on one method when three are better? Ezra CEO Emi Gal explains how combining imaging, liquid biopsy, and biomarkers creates a superior cancer screening protocol. He also shares how AI enables longitudinal tracking of lesions, reducing false positives and patient anxiety. Learn what makes Ezra’s approach uniquely effective in the fight against cancer.

Discover how Ezra uses FDA-cleared AI to transform MRI imaging. CEO Emi Gal explains how Ezra Flash speeds up scan times while improving quality, and how Ezra Assist aids radiologists with accurate annotations. Their AI-powered process makes full-body cancer screening possible in just 22 minutes—for under $500. Learn how this innovation is redefining medical imaging from acquisition to interpretation.

Can patients and clinicians be fairly rewarded for sharing healthcare data? Rajeev Ronanki, CEO of Lyric, discusses a future where AI-enabled tools empower community oncology practices with personalized digital agents. He outlines how reimbursement models can support physicians scaling their care using AI, and why rewarding patient data sharing is both ethical and economically sound.

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.