5 Questions is a periodic feature produced by Cornerstone Research, which asks our professionals, senior advisors, or affiliated experts to answer five questions. We interview Mike DeCesaris, vice ...

Smarter document extraction starts here.

When working in healthcare, a lot of the relevant information for making accurate predictions and recommendations is only available in free-text clinical notes. Much of this data is trapped in ...

In a recent study published in npj Digital Medicine, researchers evaluated ChatGPT's ability to extract structured data from unstructured clinical notes. Study: A critical assessment of using ChatGPT ...

The field of Information Extraction and Document Understanding has rapidly evolved from purely text‐based analyses to sophisticated multimodal approaches incorporating visual, textual, and layout ...

Clinical-grade, expert-supported natural language processing (NLP) is valuable to payers and providers when exchanging patient information through continuity-of-care documents. One of the most ...

Unstructured data refers to information that does not have a predefined data model or organized format, making it more challenging to store, process, and analyze compared to structured data. Unlike ...

We developed and evaluated a pipeline combining Mistral Large LLM and a postprocessing phase. The pipeline's performance was assessed both at document and patient levels. For evaluation, two data sets ...

What if the messy, unstructured text clogging your workflows could be transformed into a goldmine of actionable insights? Imagine sifting through mountains of customer reviews, clinical notes, or news ...

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