Overview
Explore the transformative potential of artificial intelligence in healthcare through this thought-provoking panel discussion from Aspen Ideas: Health. Delve into AI's current applications in disease diagnosis, drug development, surgery, maternal and child health, and depression treatment. Examine the projected cost-saving benefits of AI in US healthcare and its emerging role in improving service delivery and health outcomes in lower-income countries. Consider the opportunities, risks, and ethical implications of AI in medicine, including safety concerns, privacy issues, and the potential for more patient-centered care. Gain insights from experts Catherine Mohr, Alan Weil, Lizzie Dorfman, Padmanabhan Anandan, and Mike Nohaile as they discuss topics such as surgical robots, data requirements for AI, innovation in medicine, machine learning, and the importance of finding appropriate use cases. Explore the challenges of algorithm ownership, Google's potential contributions, and the concept of an open innovation ecosystem in healthcare AI development.
Syllabus
Intro
Health
How transformative
Surgical robots
Half human half computer
AI needs a complete data set
Innovation vs AI
Innovation in medicine
Machine learning
AI and innovation
Driving analogy
Finding the right use cases
Who owns the algorithm
How Google can help
Problems with AI
Open Innovation Ecosystem
Intuitive Foundation
Open for Research
Data Sharing
Open Source
Taught by
The Aspen Institute