Peter Szolovits

Peter Szolovits is Professor of Computer Science and Engineering in the MIT Department of Electrical Engineering and Computer Science (EECS) and an Associate faculty member in the MIT Institute of Medical Engineering and Science (IMES) and its Harvard/MIT Health Sciences and Technology (HST) program. He is also head of the Clinical Decision-Making Group within the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL). His research centers on the application of AI methods to problems of medical decision making, natural language processing to extract meaningful data from clinical narratives, and the design of information systems for health care institutions and patients. He has worked on problems of diagnosis, therapy planning, execution and monitoring for various medical conditions, computational aspects of genetic counseling, controlled sharing of health information, privacy and confidentiality issues in medical record systems, and integration of clinical and genomic data for translational medicine. His interests in AI include knowledge representation, qualitative reasoning, probabilistic inference, and machine learning. He teaches classes in artificial intelligence, programming languages, computer systems engineering, medical computing, medical decision making, knowledge-based systems and probabilistic inference.

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Machine Learning for Healthcare (edX) EdX
MIT,MITx

Machine Learning for Healthcare (edX)

Dive into 'Machine Learning for Healthcare' on edX and discover how artificial intelligence is transforming the medical field. This course covers essential machine learning concepts tailored for healthcare applications, equipping you with the skills to analyze real patient data and improve clinical outcomes through innovative technology solutions.

No sessions available
13-24 Weeks
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