AI and Machine-Learning Methodologies

Speakers

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

1. Rich Caruana

Intelligibility, Causality & Treatment Effects

2. Yi Luo, PhD

Bayesian Networks and Causal Inference

3. Mike Dusenberry

Bayesian Deep Learning for Medicine
Video not currently available

Bayesian Deep Learning for Medicine

4. John Kang, MD, PhD

Data Processing: Cross Validation, Bias Control, Missing Data, Limited Size, and Data Heterogeneity

5. Issam El Naqa, PhD

Safe Implementation & Quality Assurance Considerations For AI

6. Olivier Morin, PhD

Part 1- MEDomics: A Framework for the Development of AI in Radiation Oncology

7. Martin Vallières, PhD

Part 2- MEDomicsLab: An Open-source Computation Platform for Multi-omics Modeling in Medicine