As everyone knows, the release process for medical device software is stressful and time-consuming. Medical software verification and validation (V&V) requires verification that software meets predefined specifications and validation that it fulfills the intended purpose in the view of the customer. Practically speaking, this is achieved by performing functional and nonfunctional testing. Regulatory compliance and documentation requirements demand a huge manual effort from development teams, including multiple iterations of development and testing. All of this leads to long release cycles, overspending of resources for software developers, software testing, project management, and technical writing, as well as frequent delays in release timelines.
It seems that in the area of deep learning, sometimes the algorithms and math side of things are easier to understand and practice