Teaching Artificial Intelligence

Lab Medicine Rounds

In this episode of “Lab Medicine Rounds,” Justin Kreuter, M.D., sits down with Bradley Erickson, M.D., Ph.D., Director of the Mayo Clinic Artificial Intelligence Lab and professor of radiology at Mayo Clinic, to talk about working with artificial intelligence and how to train on it.

0:00 Intro
00:45 Why are computer-aided diagnoses, artificial intelligence, important for our healthcare?
02:45 Is there one way or maybe one facet of AI that’s the next generation of a checklist?
03:46 What’s important for physicians to understand about working with artificial intelligence?
06:01 As they are getting developed, is there a standard way the community is talking about this confidence in probability? Is that going to be universal for the different tools that are being developed? Or is it each to their own the way they try to convey that?
08:10 Is the thought then that will help us get away from some of the biases in our clinical practices?
09:25 How are you thinking about how we train our trainees, our residents and fellows, how to use artificial intelligence well? What can you share with our audience?
11:20 If I wanted to get my residents and fellows exposed to AI now, is there a recommended textbook on it, or any online tools to get exposure to and appreciate these points you are highlighting for us?
14:09 Have you started to have program directors approach you and your laboratory to facilitate education around AI in their department/division?
15:48 What do you think the future of AI in medical practice looks like?
20:38 Outro

Resources:
Medical Image Deep Learning (MIDeL)

National Imaging Informatics Course - Radiology (NIIC-RAD)