AI and Healthcare
Tensor Black
AI and Healthcare—with Mika Newton and Dr. Sanjay Juneja is an engaging interview series featuring world-renowned leaders shaping the intersection of artificial intelligence and medicine. Discover how AI is transforming healthcare today, addressing real-world challenges and improving patient outcomes.This series caters to anyone’s listening style with bite-sized, commute-friendly insights and full-length interviews. Join co-hosts Mika Newton, CEO of xCures, and Dr. Sanjay Juneja, a globally recognized oncologist and VP of Clinical AI at Tempus AI, as they explore cutting-edge innovations with industry pioneers.Originally launched as the TARGET: Cancer Podcast in 2021, the series evolved after 75 episodes into a comprehensive platform for AI and healthcare conversations.
Episodes
Mentioned books
Apr 23, 2025 • 9min
How good or bad is healthcare data?—with Mika Newton
Delve into the messy world of healthcare data, where outdated and biased information can lead to poor medical decisions. Discover the concept of digital twins and the risks of using flawed data without consent. Explore the ethical complexities of data ownership and the importance of transparency in healthcare. Learn how empowering patients with data control can lead to better outcomes, while addressing the urgent need for clean, well-governed data in precision medicine.
Apr 22, 2025 • 8min
Who Owns Your Health Data?—with Mika Newton
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 giving individuals the power they deserve over their own health information.
Apr 21, 2025 • 6min
What Is A Digital Twin?—with Mika Newton
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 When that data is fragmented, outdated, or biased, the risks multiply.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 way to ensure these technologies serve us - not replace us.
Apr 19, 2025 • 3min
Are We Heading To A Health Data Dystopia Or Utopia?—with Mika Newton
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 science fiction, it’s already being made. Now is the time to decide which future we build.
Apr 18, 2025 • 10min
How can AI improve the ER?—with Dr. Sanjay Juneja
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 made in the moments that matter most.
Apr 17, 2025 • 31min
Is Your Digital Twin Making Decisions Without You?—with Mika Newton [Full Podcast]
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 being used to build digital versions of you - ones that can make decisions without your knowledge. He breaks down why this matters, how bad data leads to bad outcomes, and what it would look like to actually take control of your data. It’s a powerful look at what’s really happening behind the scenes in healthcare, and why it affects all of us.
Apr 16, 2025 • 7min
What can be done to reduce the cost of healthcare?—with Dr. Sanjay Juneja
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.
Apr 15, 2025 • 10min
Why is AI still so hard to implement in hospitals?—with Mika Newton
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.
Apr 14, 2025 • 10min
How will AI actually change a doctor's daily work?—with Mika Newton
Healthcare faces massive inefficiencies, with 80% of data being noise. AI is revolutionizing the field by enabling faster cancer diagnoses and boosting revenue while improving patient care. The financial barriers to AI adoption are significant, but successful implementations in radiology demonstrate its potential. Streamlined onboarding of AI tools is likened to an 'Apple App Store' for healthcare, simplifying integration. Finally, the podcast discusses how AI can navigate the complex vendor landscape, easing the burdens of current EHR systems.
Apr 11, 2025 • 11min
How can AI help identify ER frequent flyers?—with Dr. Sanjay Juneja
Millions of dollars are being wasted in healthcare every year—not because of a lack of resources, but because people aren’t accessing the help that already exists. AI is starting to change that. By streamlining access to underused benefit programs, AI can help patients avoid unnecessary ER visits, reduce hospital strain, and cut costs across the healthcare system. Dr. Alister Martin shares how his work at Link Health is using AI to bridge the gap between patients and public resources, with real-world results backed by recent clinical trials. It’s a powerful example of how smart technology can drive both financial and human impact in medicine.
