
Multilingual NLP for clinical text: impacting healthcare with big data globally
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. Droice presented real-world use cases of NLP-powered solutions in several languages built by leveraging massive repositories of clinical text to help clinicians make better decisions for individual patients.