AI and Healthcare

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 Jordan Johnson, founder of Bridge Oncology, explains how fragmented systems, outdated data, and lack of standardization are driving financial loss and patient harm.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.

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.

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.