Tianrun Cai MD, Presenter: Nothing to Disclose

Kanako Kunishima Kumamaru MD, PhD, Abstract Co-Author: Nothing to Disclose

Sheng Yu, Abstract Co-Author: Nothing to Disclose

Amir Imanzadeh MD, Abstract Co-Author: Nothing to Disclose

Ruth M. Dunne MBBCh, Abstract Co-Author: Nothing to Disclose

Frank John Rybicki MD, PhD, Abstract Co-Author: Research Grant, Toshiba Corporation

Elizabeth George MD, Abstract Co-Author: Nothing to Disclose

Rani S. Sewatkar MBBS, Abstract Co-Author: Nothing to Disclose

1. Natural Language Processing (NLP) as a method for automatic data extraction has been applied to radiology research in a limited scope to date 2. The following current NLP technologies are used in radiology: pattern matching, machine learning, coupled with linguistic and statistical approaches. We will describe each with illustrative examples 3. Potential strategies to improve the versatility and accuracy of NLP technology are reviewed with the intent on achieving a wider implementation in radiology research  

A. Applications of NLP to radiology reports in the biomedical imaging literature to date  i. detection and classification of pulmonary embolism  ii. identification of abdominal aortic aneurysm, appendicitis, pneumonia, lung nodules, and bone fracture  iii. evaluation of cancer stage or tumor status  iv. assessment of radiologists recommendations for additional imaging B. Algorithmic approach to current NLP technologies  i. pattern matching ii. machine learning iii. linguistic approaches iv. statistical approaches C. New strategies for NLP include methods to obtain greatly needed clinical data from electronic medical records in order to supplement diagnostic radiology reports to enable more clinical outcomes focused research

http://abstract.rsna.org/uploads/2014/14004022/14004022_vtk9.pdf

Cai, T, Kumamaru, K, Yu, S, Imanzadeh, A, Dunne, R, Rybicki, F, George, E, Sewatkar, R, Natural Language Processing Technologies in Radiology Research.  Radiological Society of North America 2014 Scientific Assembly and Annual Meeting, - ,Chicago IL. http://archive.rsna.org/2014/14004022.html