Medical diagnosis in the general case, esp with mis- or disinformation from patients, is quite complex. The data sets available aren't that good given the built-in biases & missing data. What we're seeing is deep learning can help when it focuses on one, little thing with a ton of good data available while ignoring everything else. That's what MYCIN did back when this concept started. That's not enough to replace MD's any time soon.
What you'll find is we can at best supplement the decision-making practices of MD's by running their data through a bunch of ML systems in parallel to try to suggest things they might miss. This data will overtime feed into the ML systems to improve them. Augmented Intelligence, not Artificial Intelligence, will remain the best way to do things due to all the stuff in doctors' brains from their professional experience that's not in machine learning datasets.
One of the things the old expert systems like MYCIN could do was answer the question "Why", as in, why did you come to that conclusion? And it would show its reasoning. I may be mistaken but I don't think that the new, neural net based systems can do that. Interesting regression if true.
That was a problem in the early days. Expert systems could support root-cause analysis or justify themselves whereas neural nets couldn't. The new things are close to neural nets in operation. I'm doubting they can do it by default given that. Be interesting to see if anything is developed along those lines given work such as visualization of various layers of deep learning in pattern recognition.
https://www.quora.com/Why-is-machine-learning-not-more-widel...
Medical diagnosis in the general case, esp with mis- or disinformation from patients, is quite complex. The data sets available aren't that good given the built-in biases & missing data. What we're seeing is deep learning can help when it focuses on one, little thing with a ton of good data available while ignoring everything else. That's what MYCIN did back when this concept started. That's not enough to replace MD's any time soon.
What you'll find is we can at best supplement the decision-making practices of MD's by running their data through a bunch of ML systems in parallel to try to suggest things they might miss. This data will overtime feed into the ML systems to improve them. Augmented Intelligence, not Artificial Intelligence, will remain the best way to do things due to all the stuff in doctors' brains from their professional experience that's not in machine learning datasets.