At the end of the day Healthcare shares some of the same challenges in  A.I. adoption as other industries.

It is just that in the healthcare case these factors are more remarkable.

1) Automating data handling and data labeling

2) The Problem of Data silos magnified by privacy regulations.

3) Access to data for external vendors

4) Cultural adoption and Explainability.

This article addresses new trends in these 4 areas crucial to A.I. adoption and discusses new emerging technologies like federated learning that are part of our bonus course in mobile machine learning:

https://course.innodemia.com/courses/artificial-intelligence-product-and-process-innovation/lectures/11763916