AI and 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 prof...

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 Medic...

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 greate...

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 exp...

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....

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 ho...

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://sj...

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 C...

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...

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 a...

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...

Data normalization in healthcare isn't just complex – it's mission critical. When a simple lab result like hemoglobin A1C can be recorded under half a dozen different names, clinicians face real obstacles in tracking trends, managing care, and making timely decisions. Mika Newton, CEO of xCures, and Rajiv Haravu, SVP of Product Management at IMO Health, break down why non-standardized data jeopard...

Healthcare data is messy, inconsistent, and buried in narrative. AI sounds like the solution. Until it isn’t. In this episode of AI and Healthcare, xCures CEO Mika Newton speaks with Rajiv Haravu, SVP of Product Management at IMO Health, to dissect the real-world challenges of data normalization. From inconsistent documentation of basic lab tests to extracting insights from billions of unstructure...

Emergency rooms are overwhelmed, not just by medical crises, but by the fallout of systemic failures. A growing number of patients are showing up with issues rooted in poverty, housing instability, and food insecurity. AI is helping change that. By connecting underserved patients to billions in unclaimed public benefits, new tools are offering a path to preventative care that begins outside the ho...

As AI becomes a core part of modern medicine, the way we train future doctors may be due for a serious rethink. Empathy and adaptability, not just chemistry and memorization, could define what makes a good physician in the age of augmented intelligence. With language models becoming standard tools for both patients and providers, skills like prompting, critical thinking, and emotional intelligence...

What started with a rabbit heart in a physiology lab led to a career focused on preventing strokes through early detection of atrial fibrillation. A Stanford cardiologist shares how that moment sparked a lifelong interest in cardiac rhythms and how today’s wearables can now detect AFib through simple, continuous monitoring, long before symptoms appear. This shift from reactive care to early detect...

What if your smartwatch could detect a heart condition before you ever felt a symptom? Stanford cardiologist Dr. Euan Ashley reveals how AI and wearables are quietly reshaping the future of healthcare, from spotting silent strokes to redefining what “normal” health looks like. Why do we service our cars and inspect bridges, but wait for our bodies to break down before acting? That question sets th...

AI is only as good as the data behind it, and in healthcare, that data is often messy, outdated, and biased. As systems create digital versions of patients, known as twins, the risks increase when data deteriorates or is used without informed consent. Understanding how data breaks down over time, how it's mislabeled or misused, and why clean, well-governed data matters is essential to creating saf...

Health data is deeply personal, yet it rarely belongs to the individual. Hospitals, labs, tech platforms, and researchers hold the information that defines our health, often without clear consent or transparency. As data grows more valuable, the people it comes from are often excluded from its benefits. Shifting ownership, improving access, and creating real control are essential steps toward givi...

AI systems are no longer just tools, they’re starting to act on our behalf, powered by our data and often without our awareness. These digital twins, built from lab results, genomes, and behavior patterns, are shaping real decisions in healthcare and beyond. When that data is fragmented, outdated, or biased, the risks multiply. Building systems rooted in truth, transparency, and trust is the only...

The future of healthcare data could go in two very different directions. On one side is a system where consent is a checkbox, your data is used without your knowledge, and decisions about care, credit, and access are made by algorithms trained on broken information. On the other is a future where individuals own their data, control how it’s used, and benefit from its value. The choice isn’t scienc...

Emergency rooms are stretched thin, and AI might be the key to making them work better, for patients and clinicians. From ambient AI that cuts down on hours of documentation to large language models that surface critical patient history in seconds, new tools are helping doctors focus on care instead of paperwork. These innovations could ease burnout, reduce delays, and transform how decisions are...

We’re entering a future where AI isn’t just supporting healthcare - it’s shaping decisions, influencing outcomes, and acting on our behalf, often without us even realizing it. These systems are becoming digital twins of real people, powered by everything from lab results to behavior patterns, and the implications are massive. Jason Alan Snyder from Super Truth explains how your health data is bein...

Tackling healthcare costs requires both human connection and smarter use of technology. Dr. Alister Martin emphasizes the importance of trust, the power of patient navigators, and why AI is quickly becoming essential. With a focus on workforce upskilling and sustainable reimbursement models, there’s a clear path to reducing ER visits, improving outcomes, and making care more affordable.

AI has the potential to transform healthcare, but adoption remains slow. Outdated IT infrastructure, strict data policies, high implementation costs, and concerns around bias and model performance all stand in the way. Scaling AI in hospitals requires more than just promising tools - it demands infrastructure that supports ongoing governance, transparency, and real-world impact.