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Data Curation ()

Clinical Data Abstraction from Unstructured Documents Using NLP

Creating large-scale structured datasets containing precise clinical information on patient itineraries is a vital tool for medical care providers, healthcare insurance companies, hospitals, medical research, clinical guideline creation, and real-world...

End-to-End No-Code Development of Visual NER Models for PDFs and Images

This video shows how available Visual NER models can be used for predictions, how data can be corrected and how visual models can be finetuned with Annotation Lab.

End-to-End No-Code Development of NER model for Text with Annotation Lab

The video shows how to put together high quality training data, train an NER model and deploy it in production environment. All that is possible without writing a line of...

Parallel Training and Preannotation with support for Floating Licenses in the Annotation Lab

We are very excited to release Annotation Lab 3 with support for Floating Licenses and for parallel training and preannotation jobs, created on demand by Project Owners and Managers across...

Medical NLP: Domain Expertise and Data Quality are Vital For Success

Medical NLP content extraction or relationship linking is extremely complex requiring advanced expertise and presents unique data quality challenges when trying to scale. Domain experts with advanced training, tooling expertise,...