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Peter Szolovits is a computer science professor at the Massachusetts Institute of Technology.
Career
editHe is a full professor in the MIT Electrical Engineering and Computer Science Department (MIT EECS) and a principal investigator at the Computer Science and Artificial Intelligence Laboratory (CSAIL) who conducts research using methods of artificial intelligence (AI) for problems related to medical decision-making, including using natural language processing to extract data from clinical narratives and design information systems for healthcare institutions and patients.[citation needed]
His work has included developing ML models that can search EHRs for clinically relevant information and generate novel questions for doctors to ask patients.[1] His group has also worked on algorithms that can predict intensive-care-unit stay-times across different electronic health record (EHR) platforms.[2]
Szolovits was elected a Fellow of the American Association for Artificial Intelligence,[3] the American College of Medical Informatics,[4] and the American Institute for Medical and Biological Engineering.[5]
He has served as a member of the National Research Council's Computer Science and Telecommunications Board[6] and is the 2013 recipient of the Morris F. Collen Award of Excellence from the American College of Medical Informatics.[7]
References
edit- ^ "Teaching AI to ask clinical questions". mit.edu. 14 July 2022.
- ^ "Providing Decision Support To Hospitals Across Multiple EHR Systems". huffpost.com. 22 August 2017.
- ^ "Elected AAAI Fellows". aaai.org.
- ^ "Peter Szolovits, PhD". amia.org.
- ^ "Peter Szolovits, PhD". aimbe.org.
- ^ "COMPUTER SCIENCE AND TELECOMMUNICATIONS BOARD". nih.gov. 16 June 2014.
- ^ "Peter Szolovits honored with Morris F. Collen Award of Excellence". mit.edu. 20 March 2013.