AI and Healthcare

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.

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.

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.

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.

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.

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.

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.