Overall, de-identification in today’s data-driven world is a critical practice that helps balance the benefits of AI and big data with the need for privacy and compliance, facilitating both technological...
In industries like healthcare, in which regulatory-grade accuracy is a requirement, human validation of model results is often a critical requirement. While models handle the legwork, the Generative AI Lab...
In this notebook, RoBertaForQuestionAnswering was used for versatile Named Entity Recognition (NER) without extensive domain-specific training. This blog post walks through the ZeroShotNerModel implementation and explores its ability to adapt...
Leveraging TextMatcherInternal for Precise Phrase Matching in Healthcare Texts The TextMatcherInternal annotator in Healthcare NLP is a powerful tool for exact phrase matching in healthcare text analysis. We’ll cover its...
In a previous blog post, we compared John Snow Labs Medical Chatbot and ChatGPT-4 in Biomedical Question Answering. The blind test with independent medical annotators showed how the proprietary Healthcare-GPT...
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