The prospective summer intern will work on a project to advance the state-of-the-art in radiologic diagnosis of pneumonia. Pneumonia is an infection of the lung. In the US, pneumonia is one of the most common causes of hospital admissions, with about 1 million annual hospitalizations and about 50,000 deaths every year. The project uses chest radiographs (chest X-rays) to improve the accuracy of early detection of pneumonia. The purpose of the project is to develop fully-automated methods to accurately and rapidly find an area or areas of increased opacity on chest X-ray images. The ultimate goal is to use this artificial intelligence (AI) system to improve the diagnosis. Under the supervision of a Staff Scientist and/or Post-doctoral Fellow expert, the intern will assist in the development of a computer-aided detection (CAD) system for pneumonia in chest X-rays. The intern will work with clinicians to evaluate the accuracy of the system. The intern will learn state-of-the-art machine learning and computer vision techniques and how to use them to solve a real-world clinical problem.