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Prof. Peter Szolovits
Professor of Computer Science and Engineering and Health Science and Technology
Head, Clinical Decision-Making Group (CSAIL)
Primary DLC
Department of Electrical Engineering and Computer Science
MIT Room:
32-254
(617) 253-3476
psz@mit.edu
http://people.csail.mit.edu/psz/
Assistant
Fern Keniston
(617) 253-5860
fernd@mit.edu
Areas of Interest and Expertise
Artificial Intelligence Applications to Medicine and Medical Decision Making
Expert Systems
Knowledge Representation
Computer Supported Medical Decision Making
Personal Health Information Systems
Medical Confidentiality
Clinical Decision Making
Computing and Medicine
Medical Decision Making
Effective Representation of Knowledge
Big Data
Clinical Decision Support
Oredictive Modeling
Clinical Natural Language Processing
Integration of Multi-Modal Clinical Data
Research Summary
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.
Recent Work
Projects
January 20, 2021
Abdul Latif Jameel Clinic for Machine Learning in Health (J-Clinic)
Machine Learning for Early Diagnosis, Progression Risk Estimation, and Identification of Non-Responders to Conventional Therapy for Inflammatory Bowel Disease
Principal Investigator
Peter Szolovits
July 1, 2020
Abdul Latif Jameel Clinic for Machine Learning in Health (J-Clinic)
Application of AI/Machine Learning to Clinical Mental Health: Depression, Bipolar Disorder, and Anxiety
Principal Investigator
Peter Szolovits
Related Faculty
Peter Raymond Florence
Graduate Student
Prof. Adam Belay
Associate Professor of Electrical Engineering and Computer Science
Ross Edward Finman
Graduate Student