Behzad Selected this interesting article.

Here are the top remarks:

1) This is an example of augmented intelligence where the Radiologist Error in Setting up The MRI Scan is reduced using Deep learning.

2) I remark the concept that given the need for data operations ( data collection, labeling, training, verification) the solution is limited to specific a specific pathology. The author says they believe they can extend it. As a manager you need to understand these limitations to industrialization and scaling.

3) The article reports performances improvement in terms of time to execute the exam and precision. It is not precise enough to establish if the benefits are significant from an economic stand point ( increased capacity, reduce cost at scale) .

Here is the article:

https://medium.com/tensorflow/intelligent-scanning-using-deep-learning-for-mri-36dd620882c4