Co-investigators William Long , Anna A Rumshisky
Project Website http://medg.csail.mit.edu/
The Clinical Decision Making Group, locally known as MEDG (for "Medical Group", pronounced MED-jee), is a research group in the Laboratory for Computer Science of MIT that works on medical applications of computer science and artificial intelligence, including the Guardian Angel project developing lifelong active personal medical assistants, the W3 EMRS project developing web-based electronical medical record access to multiple institutions, and the MAITA project developing knowledge-based tools for constructing monitoring, analysis, and interpretation systems.
The CDM Group is dedicated to exploring and furthering the application of technology and artificial intelligence to clinical situations. Because of the vital and crucial nature of medical practice, and the need for accurate and timely information to support clinical decisions, the group is also focused on the gathering, availability, security and use of medical information throughout the human "life cycle" and beyond.
Specific projects within the Group are selected based on the clinical importance of various disorders and on their usefulness in designing new AI-related technologies. Currently we are working on applications to congestive heart failure, genetic counseling, the detection of abnormal growth in children, and monitoring treatment in the intensive care unit (ICU). Earlier studies include the diagnosis and treatment of coronary artery disease, fluid and electrolyte disorders, and Hodgkin's disease (a sometimes fatal disease of the lymphatic system). We also have studied the design of clinical trial protocols for lung cancer therapies; problems in administering digitalis; diagnosis of the causes of acute renal failure and other kidney disorders, and the management of ventricular arrhythmias (irregular heart function) in the cardiac ICU.