Health system envisions center as a hub of collaboration between physicians, researchers, computer scientists and statisticians to find new ways to use AI technologies for improving patient outcomes. The new Cleveland Clinic Center for Clinical Artificial Intelligence, launched by Cleveland Clinic Enterprise Analytics, will leverage machine learning, deep learning and natural language processing to power diagnostics, disease prediction, as well as treatment planning. "We realize that there's a lot of opportunity in the space of artificial intelligence to advance patient care and outcomes," says Aziz Nazha, MD, who has been appointed director of the center and associate medical director for AI. "The mission is to harness the power of artificial intelligence to improve healthcare delivery and medical research by focusing on the clinical needs of the patients." By bringing together specialists from various departments, including genetics, IT, laboratory, pathology and radiology, the center will develop innovative clinical AI applications such as machine learning algorithms designed to reduce the risk of hospital readmission and to predict patient response to cancer treatments, according to Nazha.