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Yingding Wang

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Articles

Using large language models to extract information from pediatric clinical reports

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By Katharina Danhauser, Christoph Klein, Uta Tacke, Yingding Wang
| PLOS
Discussion The presented data suggests that LLMs are capable of extracting structured information from unstructured clinical reports. The results show several tendencies. Regarding overall performance, the commercial GP4o from the OpenAI family had a higher evaluation score than all other LLMs. The smaller OpenAI model, GPT4o-mini, had a performance that was similar to the bigger open-source LLMs that can be run locally.
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