- Rich Caruana: Intelligibility, Causality & Treatment Effects
- Yi Luo, PhD: Bayesian Networks and Causal Inference
- Mike Dusenberry: Bayesian Deep Learning for Medicine
- John Kang, MD, PhD: Data Processing: Cross Validation, Bias Control, Missing Data, Limited Size, and Data Heterogeneity
- Issam El Naqa, PhD: Safe Implementation & Quality Assurance Considerations For AI
- Olivier Morin, PhD: Part 1- MEDomics: A Framework for the Development of AI in Radiation Oncology
- Martin Vallières, PhD: Part 2- MEDomicsLab: An Open-source Computation Platform for Multi-omics Modeling in Medicine
Speakers
1. Rich Caruana
Intelligibility, Causality & Treatment Effects
2. Yi Luo, PhD
Bayesian Networks and Causal Inference
3. Mike Dusenberry

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