- Effectively applying deep learning methods to medical image segmentation and medical time series analysis
- Refining AI imaging studies via consistent selection of clinically meaningful endpoints such as survival, symptoms, and need for treatment models into the realm of statistical inference – particularly for prediction heterogenous treatment effects
- Understanding the promise and limitations of causal AI
Speaker(s):
Kevin Brown
Associate Director of Data Science
Bristol Myers Squibb