MedicalResearch.com Interview with:
Eric Karl Oermann, MD
Department of Neurosurgery
Mount Sinai Health System
New York, New York 10029
MedicalResearch.com: What is the background for this study? What are the main findings?
Response: Supervised machine learning requires data consisting of features and labels. In order to do machine learning with medical imaging, we need ways of obtaining labels, and one promising means of doing so is by utilizing natural language processing (NLP) to extract labels from physician’s descriptions of the images (typically contained in reports).
Our main finding was that (1) the language employed in Radiology reports is simpler than normal day-to-day language, and (2) that we can build NLP models that obtain excellent results at extracting labels when compared to manually extracted labels from physicians. Continue reading