We use AI to understand the complexity inherent in unstructured medical text. Medical text processing is an order of magnitude more difficult than, say, a tweet or a Facebook post. Some of the additional complexity includes:
- Excessive punctuation
- Abbreviations & misspellings
- Tables of data
- Issues with named entities of genes
- And much more not found in typical layman text
Our proprietary text processing AI digs through mountains of data and makes sense of it. And gets smarter as it goes.
Shown here are three subsystems that use our artificial intelligence. For example, the “topic relationship” engine converts various abbreviations and versions of the same concept into one standardized version.