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HST.947 Medical Artificial Intelligence, Spring 2005

A screenshot of a computer medical diagnotic tool.

For their term project, several students explored knowledge acquisition and maintenance principles by reconstructing the popular QMR/Internist I diagnostic consultant tool for general internal medicine. (Courtesy of Jaime Chang, Mark Meyer, and Manu Sondhi. Used with permission.)

Highlights of this Course

This course features a reading list that complements the more general 6.034 coverage of Artificial Intelligence topics.

Course Description

This course provides an intensive introduction to artificial intelligence and its applications to problems of medical diagnosis, therapy selection, and monitoring and learning from databases. It meets with lectures and recitations of 6.034 Artificial Intelligence, whose material is supplemented by additional medical-specific readings in a weekly discussion session. Students are responsible for completing all homework assignments in 6.034 and for additional problems and/or papers.
 

Staff

Instructors:
Prof. Peter Szolovits
Prof. Lucila Ohno-Machado

Course Meeting Times

Lectures:
Two sessions / week
1.5 hours / session

Recitations:
One session / week
1 hour / session

Discussions:
One session / week
1 hour / session

Level

Graduate

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