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- Pathology
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Classroom Contents
AI in Healthcare
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- 1 - Introduction
- 2 - Applications of AI in healthcare
- 3 - End-to-end lung cancer screening
- 4 - Pathology
- 5 - Genomics
- 6 - Higher quality and more equitable learning
- 7 - Moonshots at Google
- 8 - Generating labels, bias, and uncertainty
- 9 - Plan for model limitations
- 10 - Healthcare patient vs person
- 11 - Summary and conclusion
- 12 - Poll results and Q&A