1. Breakout Session on Deep Learning
Debashis Ghosh
Professor and Chair, Department of Biostatistics and Informatics
ColoradoSPH, University of Colorado Anschutz Medical Campus

2. Deep Learning (from Stackoverflow)

3. Deep Learning Successes - Examples
Automating retinal scans for diabetic retinopathy screening (Gulshan et al., JAMA, 2016)
AlphaGo from DeepMind (Silver et al., Nature, 2016; Silver et al., Nature, 2017) – deep reinforcement learning
Major companies/organizations innovating in this space: Facebook (FAIR), Microsoft Research, DeepMind/Google, Vectra (Canada)

4. Latest from Google – Augmented Reality + Deep Learning (Chan et al
Latest from Google – Augmented Reality + Deep Learning (Chan et al., Nature Medicine, 3 days ago)

5. Question 1 for the group
1. Is Deep Learning ready for full-on clinical and medical use? If yes, why? If no, what is needed?

6. Deep Learning and Foundations
It is overparametrized but does not obey the rules of “classical” machine learning (Belkin et al., PNAS, 2019)

7. Question 2 for the group
How much do we need to understand why Deep Learning works before we use it in practice?

8. Demand/Resources for AI/ML

9. Question 3 for the group
What is the role of universities/academic (health) centers in the AI/ML era?

10. This Photo by Unknown Author is licensed under CC BY-NC-ND