Artificial Intelligence and Big Data in Healthcare: Opportunities and Challenges

Explore the transformative potential of artificial intelligence in healthcare through this 51-minute panel discussion from The Aspen Institute. Delve into how AI and machine learning are poised to revolutionize health delivery, from predicting hospital-acquired infections to informing disease prevention and treatment in oncology. Examine the intersection of AI with genomic research and its implications for personalized medicine. Gain insights from experts Seth Berkley, Alan Weil, Lizzie Dorfman, and Jay Komarneni as they discuss data quality challenges, global health measures, economic incentives, and the future of medical professions. Consider the ethical implications of AI in healthcare, including algorithm ownership and quality assurance. Discover how developing countries might leapfrog in healthcare technology adoption and contemplate the potential to revitalize the medical profession through AI integration.

Introduction
Big Data
Google Brain
Artificial Intelligence in Healthcare
Data Quality Problems
Data Validation
Data Availability
Global Baseline Measures
Empowering Knowledge
Taskshifting
AI in Professions
Where are the investments
Developing countries can leapfrog
Economic incentives
Transfer learning
Where are we going
Bring the joy back to medicine
How do we get the workforce
How common are blockbuster algorithms
Ownership of algorithms
Quality of algorithms