Over the past five years, two trends combined to turn natural language processing (NLP) from a niche technology to a foundational component of Healthcare IT.
One is the digitization of electronic medical records, clinical trial documents, and the explosion of digital health initiatives.
The second is advancement in deep learning and transfer learning, making many practical use cases viable for the first time ever.
In this session, David Talby shares the current state of the art for applied NLP in healthcare and life science – including highlights from recent case studies, papers, and benchmarks that put these developments into practice.
