Teaching Machines to Read Radiology Reports

At Qure, we build deep learning models to detect abnormalities from radiological images. These models require huge amount of labeled data to learn to diagnose abnormalities from the scans. So, we collected a large dataset from several centers, which included both in-hospital and outpatient radiology centers. These datasets contain scans and the associated clinical radiology reports. For now, we use radiologist reports as the gold standard as we train deep learning algorithms to recognize abnormalities on radiology images.