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Our focus in this talk is the art of building bridges between the possible and feasible, in the non-profit healthcare sector, in the context of natural language processing.
The large language models today allow for increasingly sophisticated applications in principle. Finding simple use cases that can be developed by a single data scientist and implemented in clinical workflows by already swamped providers turns out to be the harder part.
I will talk about how the whole range of tools from rudimentary string matching to building chatbots based on LLMs can be used for practical applications in a clinical setting.

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