Главная
Study mode:
on
1
Intro
2
Health
3
How transformative
4
Surgical robots
5
Half human half computer
6
AI needs a complete data set
7
Innovation vs AI
8
Innovation in medicine
9
Machine learning
10
AI and innovation
11
Driving analogy
12
Finding the right use cases
13
Who owns the algorithm
14
How Google can help
15
Problems with AI
16
Open Innovation Ecosystem
17
Intuitive Foundation
18
Open for Research
19
Data Sharing
20
Open Source
Description:
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. Read more

Deep Dive - Artificial Intelligence on the Rise

The Aspen Institute
Add to list
0:00 / 0:00