In this Intel on AI podcast episode: Accurately answering clinical and billing questions by reading patient records, which can be hundreds of pages long, is a challenge even for human experts. While traditional rule-based or expression-matching techniques work for simple fields in templated documents, it's harder to infer facts based on implied statements, the absence of certain statements, or a combination of other facts. David Talby, Acting CTO at John Snow Labs, joins us to talk about how the John Snow Labs Healthcare AI Platform and Spark NLP project are helping revolutionize the healthcare industry by addressing such workloads at a very high level of accuracy using state-of-the-art deep learning techniques applied to natural language processing (NLP). He discusses how NLP in healthcare is particularly challenging because clinical vocabulary and context can be very unique in comparison with other industries. David also explains how NLP is incredibly important for the healthcare industry because the data for many practical AI applications is trapped in text and NLP is needed to extract actionable insights. He illustrates how their solutions can run on-prem or in the cloud and highlights that John Snow Labs was recently recognized by CIO Applications magazine as its 2019 'AI Platform of the Year' winner.

To learn more, visit: johnsnowlabs.com

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