The solution to failures of AI in heathcare is transparency of data. OpenAI's models work because they have virtually unlimited data to train on. The scale of training data for doctor bots is one millionth the size. Different countries, organizations, universities need to be as open as possible sharing and collaborating, realizing improvements in medicine benefits all of humanity with almost no downsides.
There should be a standardization committee tasked with standardizing the collection of anonymized, semi-synthetic medical data from hospitals/hospital networks. It seems like so much research is just locked up in the IMS systems the hospitals use for their patients and that never see the light of day.
I read about this researcher using GANs to create synthetic patient data, cool stuff. She had a problem she couldn't solve though: how do you validate that your synthetic patients look real?
You cannot imagine just how deep the medical data rabbit hole goes.
Already plenty of institutions have semi-standardized their collect and do multi-hospital (typically research hospitals) aggregation. Whether this data is any good as training data for supervised or unsupervised algorithms is really questionable.
