The workshop will be held December 4 virtually. Times are listed in EST.

Time Title
9:00-9:10 Opening remarks
9:10-9:30 Uri Shalit: When and How can Machine Learning be Used for Treatment Recommendation Based on Patient Records
9:30-9:50 Shalmali Joshi: Towards Robust, Safe and Ethical ML for Health
9:50-10:10 Discussion with Uri Shalit and Shalmali Joshi
10:10-10:40 Paper spotlights A
10:40-11:30 Poster session A
11:30-12:10 Lunch
12:10-12:30 Rory Sayres: Case studies of real-world medical AI deployment: What can ML and HCI lenses teach us, and each other?
12:30-12:50 Xiao Liu: Evidence Standards for AI in Healthcare
12:50-13:10 Karandeep Singh: Bringing Machine Learning Models to the Bedside
13:10-13:40 Discussion with Rory Sayres, Xiao Liu, and Karandeep Singh
13:40-14:40 Round table discussions
14:40-14:50 Break
14:50-15:10 Aisha Walcott-Bryant: The Great Potential of AI to Transform Healthcare: A COVID-19 Story
15:10-15:30 Sendhil Mullainathan: Ground Truth in Health: Nightingale Open Science
15:30-15:50 Discussion with Aisha Walcott-Bryant and Sendhil Mullainathan
15:50-16:20 Paper spotlights B
16:20-17:10 Poster session B
17:10-17:20 Break
17:20-17:40 Yoshua Bengio: Generative Active Learning to Explore Therapeutic Space
17:40-18:00 Discussion with Yoshua Bengio
18:00-18:10 Closing remarks