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Dr. Pranav Rajpurkar on AI and Radiology

NEJM AI Grand Rounds

CHAPTER

The Importance of Alignment in Machine Learning

I'm sure that a lot of the lessons that you learned in creating a benchmark task must inform what you're doing in medicine. I think it's important to have alignment on two things. And then do we have the right data set to be able to answer that important problem? Without alignment on these two, people will build machine learning algorithms for things that are not going to ultimately be helpful or translate into practice. So one of the responsibilities here is can we define that question clearly and make the data available to answer the questionClearly available to the machine learning community,. such that people who are good at developing these models can actually work on good problems.

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