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Professor Szolovits research centers on the application of AI methods to problems of medical decision making and 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, and privacy and confidentiality issues in medical record systems. His interests in AI include knowledge representation, qualitative reasoning, and probabilistic inference. Additionally, Professor Szolovits has research interests in medical computing include web-based heterogeneous medical record systems, life-long personal health information systems, and design of cryptographic schemes for health identifiers.
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