Laritza Rodriguez, MD, PhD
Applied Clinical Informatics Branch
Building 38A - Lister Hill Center, 9N909
Expertise and Research Interests:
Dr. Rodriguez is a Staff Scientist with the Computer Science Branch of the Lister Hill National Center for Biomedical Communications, NLM. She is a researcher with interest in Medical Vocabulary, Standards, and Datamining of large clinical datasets. She focuses on data integration, standarization, and preparation for clinical information extraction to provide clinicians with proper information at the point of care.
Dr. Rodriguez is an Obstetrician Gynecologist with more than 15 years of clinical practice, she is a specialist in Maternal Fetal Medicine with experience in invasive prenatal diagnosis. She earned her PhD degree from the Department of Biomedical Informatics at the University of Utah. Her doctoral dissertation work focused on Datamining Techniques for Prediction of Pregnancy Adverse Event.
Publications:Kim I, Misra D, Rodriguez L, Gill M, Liberton D, Almpani K, Lee JS, Antani S. Malocclusion Classification on 3D Cone-Beam CT Craniofacial Images Using Multi-Channel Deep Learning Models. 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Montreal, QC, Canada, 2020, pp. 1294-1298, doi: 10.1109/EMBC44109.2020.9176672.
Datta S, Rodriguez L, Shooshan SE, Demner-Fushman D, Roberts K. Understanding Spatial Language in Radiology: Representation Framework, Annotation, and Spatial Relation Extraction from Chest X-ray Reports using Deep Learning. Journal of Biomedical Informatics, 103473.
Datta S, Si Y, Rodriguez L, Shooshan S, Demner-Fushman D, roberts K. Understanding Spatial Language in Radiology: Representation Framework, Annotation, and Spatial Relation Extraction from Chest X-ray Reports using Deep Learning. arXiv preprint arXiv:1908.04485, 2019.
Rodriguez L, Demner-Fushman D. Finding Understudied Disorders Potentially Associated with Maternal Morbidity and Mortality. AMIA Informatics Summit, March 2019.