AI and Healthcare

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.

AI and Healthcare is a technology podcast hosted by Tensor Black, with 194 episodes on record and a Required Pod Score of 80.

Tensor Black hosts AI and Healthcare, a technology show with 194 episodes published.

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  Episode #194

  The AI Doctor Debate: Autonomous AI in Healthcare with Ezekiel Emanuel, MD, PhD

  Sep 29, 202640 min

  Will AI replace doctors? Ezekiel "Zeke" Emanuel, MD, PhD, thinks autonomous AI will soon manage a lot of what physicians do today, starting with chronic disease and the side effects of chemotherapy, and that the better it gets, the more likely a human override is to add errors rather than catch them. His recent JAMA papers made the argument in print. In this episode of AI and Healthcare, oncologist Sanjay Juneja, MD sits down with Emanuel, an oncologist, bioethicist and Penn's Vice Provost for Global Initiatives, to talk through where autonomous AI in healthcare arrives first, where it will fail, and what is left for physicians when it does.

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  Episode #193

  What AI Can See in Medical Scans That Doctors Can't

  Sep 3, 202656 min

  What if medical scans we already collect contain signals that could predict cancer treatment response, reveal disease risk years earlier, or identify biological patterns the human eye cannot see? In this episode of AI & Healthcare, oncologists Dr. Sanjay Juneja and Dr. Doug Flora, speak with AI and biomedical imaging researcher Anant Madabhushi, PhD about the hidden information inside routine CT scans, retinal images, and pathology slides. They explore how AI could help predict treatment response, detect warning signs of disease, uncover meaningful signals in tumor vessels and surrounding tissue, and expand access in regions facing shortages of radiologists and pathologists. The conversation also examines explainability, automation bias, clinical validation, health equity, and the consequences of waiting too long to use potentially valuable technology. Anant Madabhushi, PhD is the Robert W. Woodruff Professor of Biomedical Engineering at Emory University and Georgia Tech and Executive Director of the Emory Empathetic AI for Health Institute. His work focuses on AI, radiomics, computational pathology, and predicting treatment response from routinely collected medical images. Subscribe for conversations about artificial intelligence, oncology, clinical medicine, and the future of healthcare.

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  Episode #192

  This Oncologist Started Learning AI at 60, Here's How He Uses It

  Aug 14, 202653 min

  Medicine is becoming too complex for any one clinician to keep up with alone. AI may soon change that equation. Dr. Francisco Esteva joins Dr. Sanjay Juneja and Dr. Doug Flora to explain how physicians can use AI to research faster, communicate more clearly with patients, automate repetitive work, and build systems that extend their expertise. Francisco began learning these tools around age 60. Today, he's building AI-powered workflows for patient education, YouTube, research, quality control, and automation. You don't have to become an AI expert. But understanding how to use these tools may soon become an essential clinical skill.

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  Episode #190

  The End of Trial-and-Error Cancer Care

  Jul 10, 202656 min

  Eric Lefkofsky, Founder and CEO of Tempus AI, joins Dr. Sanjay Juneja and Dr. Doug Flora to explore how artificial intelligence, real-world data, genomic sequencing, and emerging technologies like organoids are reshaping oncology. From reducing diagnostic errors to matching patients with more effective therapies, AI is transforming how clinicians make decisions and how researchers develop the next generation of treatments. The conversation examines why healthcare adoption has lagged behind technological progress, the growing role of patient-driven intelligence, and how connected data may help eliminate thousands of preventable cancer deaths each year. Eric also shares his vision for AI-powered clinical decision support, digital twins, drug development, and the future relationship between physicians and intelligent systems.

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  Episode #189

  What If Every Patient Had a Digital Twin? Part 2

  Jun 16, 202631 min

  What happens when artificial intelligence becomes a trusted partner in patient care? Healthcare leaders are increasingly exploring how AI can help clinicians make faster, more informed decisions while reducing administrative burden and improving patient outcomes. But deploying AI in medicine requires balancing innovation, trust, regulation, and clinical judgment. In this conversation, Dr. Scott Penberthy, Dr. Lindsey Cotton, and Dr. Doug Flora explore the future of cancer care, precision medicine, digital twins, physician adoption, implementation science, and the role of AI in supporting—not replacing—clinical decision-making. From cancer screening and treatment selection to workflow automation and predictive modeling, they discuss what healthcare may look like when every clinician has access to intelligence that helps them see what was previously invisible.

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