David Rhew MD

For a general audience.

Artificial intelligence is reshaping how we understand health, prevent disease, deliver care, and support the people who make health systems work. This presentation explores the most important AI advances transforming health today, from intelligent agents and earlier detection to personalized interventions and more efficient operations. Leaders will learn where AI can create meaningful impact, what risks must be addressed, and how to prepare their organizations and workforce for a future in which people and AI work together.

Audience takeaways

• Identify a health use case with a clear purpose.
• Ask practical questions about evidence and responsible use.
• Recognize where human judgment and oversight remain necessary.

For government departments of health, ministries of health and health departments.

AI offers public health leaders new capabilities to anticipate emerging threats, identify at-risk populations, strengthen disease surveillance, expand access, and allocate limited resources more effectively. This presentation examines how governments, ministries of health, and health departments can apply AI to move from reactive response to proactive population health while protecting privacy, promoting equity, and maintaining public trust. Leaders will leave with a practical framework for scaling responsible AI across public health systems.

Audience takeaways

• Frame an AI opportunity around a population health need.
• Identify access and accountability questions before deployment.
• Define measures for evaluating the effect of a public health initiative.

For healthcare providers and payers.

AI is creating new opportunities to improve clinical outcomes, reduce administrative burden, address workforce shortages, and deliver more proactive and personalized care. This presentation explores how providers and payers can use ambient technologies, intelligent agents, predictive models, and workflow orchestration to transform care delivery and operations. It also addresses the leadership, governance, and workforce capabilities required to move AI from isolated pilots to measurable, trusted, and sustainable impact.

Audience takeaways

• Identify workflow friction that could justify an AI evaluation.
• Specify clinical and operational responsibilities for a use case.
• Choose measures that test whether implementation delivers useful value.

For pharma and medtech audiences.

AI is transforming the health and life sciences value chain, from research and clinical development to manufacturing, commercialization, and patient support. This presentation examines how pharmaceutical and medical technology leaders can use multimodal AI, intelligent agents, real-world data, and connected technologies to accelerate innovation, improve evidence generation, streamline operations, and deliver more personalized patient experiences. Leaders will also learn how responsible AI, continuous validation, and workforce transformation can help scale innovation with confidence.

Audience takeaways

• Define a specific development or operational use case.
• Identify evidence and data questions that affect feasibility.
• Plan responsibilities for evaluating and overseeing implementation.