This course on AI in Healthcare aims to introduce learners to the applications of artificial intelligence in the healthcare industry. The course covers topics such as end-to-end lung cancer screening, pathology, genomics, and ensuring higher quality and more equitable learning. It also delves into generating labels, bias, uncertainty, and addressing model limitations in healthcare. The teaching method includes lectures, slides, and lab materials. This course is intended for individuals interested in the intersection of artificial intelligence and healthcare.
Overview
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
