Meet us at the AI4 2022, August 16th-18th, MGM Grand Las Vegas at Booth #202. Schedule a meeting today here.
was successfully added to your cart.

Healthcare NLP Blog

State-of-the-Art Natural Language Processing for Clinical and Biomedical Text.

Deeper Clinical Document Understanding Using Relation Extraction

The surging amount of biomedical literature & digital clinical records presents a growing need for text mining techniques that can not only identify but also semantically relate entities in unstructured...

Comparison of Clinical Named Entity Recognition (NER) Benchmarks — Spark NLP vs AWS, Google Cloud and Azure

Spark NLP for Healthcare There is a growing need for automated text mining of Electronic health records (EHRs) in order to find clinical indications that new research points to. EHRs...

Comparison of Clinical Entity Resolution (ICD10, RxNorm, Snomed) Benchmarks — Spark NLP vs AWS, Google Cloud and Azure

Spark NLP for Healthcare There is a growing need for automated text mining of Electronic health records (EHRs) in order to find clinical indications that new research points to. EHRs...

Spark NLP: A Versatile Solution for Structuring Data from Endoscopy Reports

Artificial intelligence (AI) can be applied in the practice of gastroenterology to acquire and analyze information. Besides speed and duplicability, AI has the potential of also offering insight with results...

Comparison of De-Identification (removing PHI data) Benchmarks — Spark NLP vs AWS, Google Cloud and Azure

Spark NLP for Healthcare There is a growing need for automated text mining of Electronic health records (EHRs) in order to find clinical indications that new research points to. EHRs...