Spark NLP for Healthcare Library Speeds Up Automated Language Processing with Intel AI Technologies

Intel Case Study

Advances and breakthroughs in medicine and public health are built on research and prior learnings. Understandings are contained in a wide range of content, such as the following:

  • Patient records
  • Imaging, genomic, and lab reports
  • Medical billing records
  • Research reports
  • White papers and articles
  • Clinical trial results
  • Medical and healthcare regulatory filings

Petabytes of new information are added every year, which is searched, culled, and perused by researchers, analysts, and data scientists across the entire healthcare sector. They rely on automated systems that leverage artificial intelligence (AI) and Natural Language Processing (NLP) libraries to search for and analyze selected content to locate data they need.

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