Presented by: Anusua Trivedi, Lead Scientist AI for Good Research Lab at Microsoft
Machine Learning has been leveraged for a variety of medical tasks. However, much of the work has focused on feature extraction engineering which involves computing features specified by experts, resulting in algorithms built to detect specific lesions or predict the presence of many types of disease severity. Advanced AI and machine learning techniques avoid such feature engineering by learning the most predictive features directly from the large data set of tagged examples. Identifying candidate regions in medical field is of uttermost importance since it provides intuitive hints for doctors and patients of how the diagnosis is inferred. Natural language processing, or NLP, is a type of artificial intelligence that deals with analyzing, understanding, and generating natural human languages so that computers can process written and spoken human language without using computer-driven language. In this talk we explore how advanced NLP helps extract more information for advancement of healthcare.
