Successful Development of a Natural Language Processing Algorithm for Pancreatic Neoplasms and Associated Histologic Features

A group of researchers, including MIT Jameel Clinic affiliate Adam Yala, published the results of their study, titles 'Successful development of a natural language processing algorithm for pancreatic neoplasms and associated histologic features,' in Pancreas on 14 September 2023.

From the paper's abstract, the authors write, 'Natural language processing (NLP) algorithms can interpret unstructured text for commonly used terms and phrases. Pancreatic pathologies are diverse and include benign and malignant entities with associated histologic features. Creating a pancreas NLP algorithm can aid in electronic health record coding as well as large database creation and curation.'