This program can be completed in a traditional classroom format or entirely online.
The graduate certificate in Artificial Intelligence in Medicine offers students training in the application of computational methods and machine learning techniques to the analysis of medical problems. The focus of the program is an emphasis on the mastery of skills required to analyze medical data related to patients, which include big data, medical imaging, physiological and disease progression modeling, experimental (clinical and laboratory), and healthcare information. This program will benefit healthcare through the use of modern computational techniques to manage and investigate the ever-increasing volume of patient data and the wide variety of diseases. Students will acquire skills and knowledge in computation, modeling and simulation, machine learning, medical data management, and advanced statistical analysis, with an emphasis on interdisciplinary collaboration.
The courses available for this program may include assignments and projects in collaboration with researchers at the School of Medicine. In particular, Bioengineering faculty have established collaborations with the Cardiovascular Innovation Institute, the Kentucky Spinal Cord Injury Research Center, the Brown Cancer Center, the Center for Predictive Medicine, and the Departments of Oncology and Radiology.