Shouldn't the end goal be just to train an ai on all the pdfs and give the doctors an interface to plug in all the details and get a treatment plan generated by that ai?
Working on the data structure feels like an intermediate solution on the way to that ai which is not really necessary. Or am I missing something?
AI/ML techniques in medicine have been applied clinically since at least the 90s. Part of the reason you don't see them used ubiquitously is a combination of a) it hasn't worked all that well in many scenarios so far and b) medicine is by nature quite conservative, for a mix of good and not so good reasons.
Working on the data structure feels like an intermediate solution on the way to that ai which is not really necessary. Or am I missing something?