"We just need to drain a couple of lakes more and I promise bro you'll see the papers."

I work in the field and I've seen tons of programs dedicated to use AI on healthcare and except for data analytics (data science) or computer image, everything ends in a nothing-burger with cheese that someone can put on their website and call the press.

LLMs are not good for decision making (and unless there is a real paradigm shift) they won't ever be due to their statistical nature.

The biggest pitfall we have right now is that LLMs are super expensive to train and maintain as a service and companies are pushing them hard promising future features that, by most of the research community they won't ever reach (as they have plateaued): Will we run out of data? Limits of LLM scaling based on human-generated data Large Language Models: a Survey (2024) No "Zero-Shot" Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance

And for those that don't want to read papers on a weekend, there was a nice episode of computerphile 'ere: https://youtu.be/dDUC-LqVrPU

</end of rant>