MinneBOS - Boston's Field Guide to Data Science & Emerging Tech

At Droice, we leverage massive repositories of clinical text to build deep learning/NLP solutions to help clinicians make better decisions for individual patients. With the widespread adoption of electronic medical records (EMRs) and recent advances in machine learning, natural language processing has come to the forefront in clinical AI. Despite the challenges of working with unstructured text, doctors’ notes and other clinical text contains some of the richest information about a patient. However, building systems that can work with clinical text in languages other than English remains a challenge to this day. In this talk, we will present several real-world use cases of NLP-powered solutions in several languages.