Delivering Expert BI-RADS Data Labeling for Medical Natural Language Processing (NLP).

A major healthcare provider needed an experienced, innovative partner to help the development of an AI-based natural language processing (NLP) classifier. The client’s goal was to use the classifier to automatically identify and categorize Breast Imaging Reporting and Data System (BI-RADS) scores, by extracting and understanding text from a dataset of breast radiology reports.

 

However, to be effective, the classifier needed to be trained. This required a large number of text-based mammography reports to be manually evaluated for one of the six BI-RADS categories, along with patient comorbidity indicators.

 

Download the case study to learn how CapeStart’s extensive experience working in medical NLP, mammography, and medical data of all types helped them quickly and efficiently label this large dataset of text-based mammogram reports with BI-RADS categories, allowing the client to train their NLP algorithm to yield very high accuracy.





Case Study

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