Summary

In this chapter, we gained an understanding of the medical device industry and the regulatory aspects of the industry designed to ensure the safe usage of these devices among patients. We also looked at the radiology image workflow and the various components involved in the system to make it work. We saw how ML models, when applied to medical devices, can improve the overall health of the population and prevent serious medical events. In the final sections of the chapter, we got an introduction to SageMaker training and went through an implementation exercise to train an ML model to identify a normal chest X-ray compared to one displaying pneumonia.

In Chapter 7, Applying Machine Learning to Genomics, we will look at how ML technology is transforming the world of clinical research. We will understand the role of genomic sequencing in precision medicine and look at examples that demonstrate why it’s important to consider genomic data in clinical diagnosis.