Dina Demner-Fushman, MD, PhDTenure Track Investigator, Computational Health Research Branch, LHNCBC
I lead research in the areas of artificial intelligence focused on natural language processing, data mining and multimodal information retrieval and processing with emphasis on information extraction and textual data analysis, EMR data analysis, and image and text retrieval for clinical decision support and education.
Building 38A, 8600 Rockville Pike MSC 6075 Bethesda, MD 20894
Tel: (301) 435-5320
Dina and her team work to develop a single platform for the public to explore NLM resources. Their long-term goal is to create one entry point for all NLM resources. The team is united by the task of enabling computers to understand health-related information needs and the socioeconomic and professional status of NLM users. Dr. Demner-Fushman uses advanced artificial intelligence (AI), natural language processing, and data mining techniques to answer questions about a variety of health topics. Her team developed approaches to predict the course of disease, extract key information from text, summarize documents, answer clinical questions, and retrieve information in multiple ways. Her research led to the current iteration of the MEDLINE resource, which helps people navigate a plethora of NLM resources, as well as Open-i, which helps finding biomedical images.