[extasia]

They're poor at recollecting the exact descriptions of the ~150,000 ICD codes, which is why these other approaches [1,2] give the known information (codes) in some way to the model and let it do the task of _assigning_ them to discharge notes, which is the hard part of the task!.

(Disclaimer: I am an author of one of these papers)

1. https://arxiv.org/abs/2311.13735

2. https://arxiv.org/abs/2310.06552

[tuxracer]

"XCode is a poor tool to create apps that do X"

"We tried a particular approach using XCode to create an app that does X but were unsuccessful. Therefore, nobody is able to use Xcode to create apps that do X"

If there are 150,000 ICD codes an Agent may be able to accomplish this that leverages LLMs in the process. LLMs may be able to be used as _part of a process_ that does successfully accomplish this task.

[Workaccount2]

I'd be curious if you guys used AI studio and Gemini 1.5, you could context stuff a few thousand .pdf pages of ICD codes and ICD application before beginning testing. I imagine that performance would improve dramatically with a million tokens of ICD in play.