We develop and apply advanced computing and artificial intelligence techniques to improve health care.

The Clinical Decision Making Group (MEDG) at the MIT CSAIL is a research group headed by Professor Peter Szolovits.
We are dedicated to exploring and furthering the application of technology and artificial intelligence to clinical situations.

Our Missions

The Clinical Decision Making Group at the MIT Laboratory for Computer Science is a research group dedicated to exploring and furthering the application of technology and artificial intelligence to critical situations. Because of the particular application, and the need to support decisions, use of information, across diverse types within and across organizations and political boundaries.

As part of our approach, we use natural language processing methods to extract meaningful data from the basic narratives that contain most observations made by professionals in diverse industries. We apply a variety of machine learning techniques, including LLMs, deep learning, matrix and tensor factorization, Gaussian processes, support vector machines, conditional random fields, logistic regression, Bayesian models, random forests, and reinforcement learning, and adapt them to the peculiar characteristics of application data.

Contact Us

Peter Szolovits, psz@mit.edu, (617) 253-3476

Fern Keniston, fernd@mit.edu, (617) 253-5860

Amar Gupta, agupta@mit.edu, (617) 253-0418

Olivia Cheo, olivia@csail.mit.edu


MIT Computer Science and Artificial Intelligence Laboratory,
32 Vassar Street, 32-254, Cambridge, MA 02139, USA