[tangoed]

You'll be surprised how many well-known doctors miss a ton of non-obvious anomalies in scan results. There's no way a doctor would have seen all prior records of confirmed diagnosis and their corresponding scans.

In an ideal world, a deep learning algorithm should provide an independent report of potential features of interest to a doctor to let him know if something that he could have missed. However, I hope it stays in the intended role and doesn't make the doctor less careful.

[01acheru]

I totally agree with you on this one, but it is not the topic at hand. The article is not about using ML for feature detection, but on enhancing subsampled data.

I actually find what you are saying it to be a much better usage of ML in this sector.