Anouk Stein, MD, is a radiologist and AI Data Specialist at MD.ai, a healthcare start-up based in NY. We discuss Dr. Stein's journey to MD.ai as well as her current work in the medical AI space. Dr. Stein provides some great advice for anyone looking to get started in practical machine learning. We also talk about some of the exciting kaggle competitions held by MD.ai as well as the importance of external data validation. We close with some great advice for our listeners from Dr. Stein on how to embrace the exciting new changes taking place in medicine today. Dr. Stein is a terrific teacher and I learned a lot from her in this interview. I hope you all enjoy!

Timestamps

1:10 Individual path to healthcare and AI

3:58 What does MD.ai do?

5:00 Stanford Design-Your-Life course

7:40 AI and Radiologists

12:00 Combining algorithms and the necessity of a meta-algorithm

14:48 External Validation of Data

16:50 Practical Machine Learning

22:10 What is external validation

25:10 Controversy over generalization

29.10 Accomplishments of MD.ai

32:30 What is it like to work in industry after medical education

37:45 How MD.AI got started

40:25 Fields of Medicine looking towards AI

43:40 The future of AI in medicine over the next 10 - 20 years

46:25 What advice would you give to yourself in your twenties

47:00 Any advice for young physicians

Resources Mentioned:

Kaggle - Python tutorial
Fast.ai
Facebook Detectron 2
Pandas

Anouk Stein - Medical Imaging & AI in Industry