AI in Healthcare
Offered By: Alexander Amini via YouTube
Course Description
Overview
Explore the applications of artificial intelligence in healthcare through this lecture from MIT's Introduction to Deep Learning course. Delve into topics such as end-to-end lung cancer screening, pathology, genomics, and the potential for higher quality and more equitable learning. Learn about Google's moonshot projects and the challenges of generating labels, addressing bias, and managing uncertainty in AI models. Discover the importance of planning for model limitations and the distinction between healthcare patients and individuals. Gain valuable insights into the future of AI in medicine and participate in a Q&A session to further your understanding of this rapidly evolving field.
Syllabus
- Introduction
- Applications of AI in healthcare
- End-to-end lung cancer screening
- Pathology
- Genomics
- Higher quality and more equitable learning
- Moonshots at Google
- Generating labels, bias, and uncertainty
- Plan for model limitations
- Healthcare patient vs person
- Summary and conclusion
- Poll results and Q&A
Taught by
https://www.youtube.com/@AAmini/videos
Tags
Related Courses
VaccinesUniversity of Pennsylvania via Coursera Healthcare Innovation and Entrepreneurship
Duke University via Coursera Clinical Problem Solving
University of California, San Francisco via Coursera Contraception: Choices, Culture and Consequences
University of California, San Francisco via Coursera Vaccine Trials: Methods and Best Practices
Johns Hopkins University via Coursera