> We humans are incredibly good at elimination of factors & differential diagnosis. The findings don't surprise me. There is much more work needing to be covered. For straightforward, and conditions with limited, clear cut symptoms they are showing promising advancements, but it cannot be trusted to wide arrays of diagnosis - especially when models don't know what 'they do not know'.

If it were presented this way, while accurate and honest, it would in no way get the media hype and thus funding from both state actors and private investors looking to get to be a part of the 'winner take all' model.

As a person studying AI and ML at the undergrad level, is there any advice you have in order to the pitfalls that this Industry has become?