It’s strange to think that the same technology that corrects your clumsily typed text messages could one day help save your life. But artificial intelligence researchers are working to improve natural language processing to the point where it could help physicians find the information they need quickly.
Dina Demner-Fushman of the National Library of Medicine, based on the campus of the National Institutes of Health in Bethesda, Maryland, is a researcher in the field of information retrieval and natural language processing. She speaks at the ACM/IEEE on Thursday, April 11, at 8 p.m. at Princeton University’s computer science building Room 105. For more information, visit princetonacm.acm.org.
The National Library of Medicine has a mission to facilitate dissemination and exchange of scientific and other information important to the progress of medicine and to the public health. The talk will cover NLM’s resources for biomedical and clinical natural language processing methods to support healthcare by operationalizing clinical information contained in the biomedical literature and clinical narrative. The talk will describe how these resources help address the challenges: resolving word meanings that are specific to the domain, recognizing the full phrase that corresponds to an acronym, and semantic tagging. Demner-Fushman will describe applications of these resources to tasks such as information extraction and question answering.
Demner-Fushman earned a doctor of medicine degree from Kazan State Medical Institute, a clinical research doctorate in medical science degree from Moscow Medical and Stomatological Institute, and master’s and doctorate degrees in computer science from the University of Maryland. She is the author of more than 120 articles and book chapters in the fields of information retrieval, natural language processing, and biomedical and clinical informatics. She has co-authored a textbook on biomedical natural language processing published in 2014.