Dr. Langlotz's laboratory employs deep neural networks and other machine learning technologies to design algorithms that detect and classify disease on medical images. They also develop natural language processing methods that use narrative radiology reports to create large annotated image training sets for supervised machine learning experiments. The resulting systems provide real-time decision support for radiologists to improve accuracy and reduce errors. The Langoltz lab is committed to enabling the clinical use of ideas conceived in the laboratory. When their results show potential, they evaluate their utility in the reading room or the clinic and disseminate them as open source or commercial software.