Medicine, AI in

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Citation: Adam Galper and Glenn D. Rennels and Edward H. Shortliffe and Ramesh S. Patil. (1992) Medicine, AI in. In KSL-90-37, April,1992.

Publication techreport ( Edit )
type Technical Report
bibtype techreport
Bibtex basics
author Adam Galper and Glenn D. Rennels and Edward H. Shortliffe and Ramesh S. Patil
title Medicine, AI in
number KSL-90-37
institution Knowledge Systems, AI Laboratory
address Stanford, CA, USA
year 1992
month April
Bibtex more
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abstract This article describes the theoretical basis and current research themes of the field of artificial intelligence in medicine (AIM). Medical advice systems were first envisioned in the late 1950s; more than thirty years later, systems have been built in numerous medical domains, using a wealth of modeling and reasoning techniques. We briefly discuss: the use of protocol analysis in the development of theories of medical problem solving; the nature of medical knowledge; taxonomies of biomedical concepts; knowledge structures; inference and control methods for medical reasoning; uncertainty management; and evaluation functions. Research themes we address include: knowledge acquisition; decision-theoretic approaches; causal reasoning; temporal reasoning and planning; strategies for the diagnosis of multiple diseases; explanation and critiquing; and validation and evaluation of medical expert systems. Finally, the issues and themes we describe are illustrated in the context of several AIM programs--QMR, Pathfinder/Intellipath, and ONCOCIN--that have achieved limited clinical use.

KSL Technical Report ID: KSL-90-37
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Abstract This article describes the theoretical bas … This article describes the theoretical basis and current research themes of the field of artificial intelligence in medicine (AIM). Medical advice systems were first envisioned in the late 1950s; more than thirty years later, systems have been built in numerous medical domains, using a wealth of modeling and reasoning techniques. We briefly discuss: the use of protocol analysis in the development of theories of medical problem solving; the nature of medical knowledge; taxonomies of biomedical concepts; knowledge structures; inference and control methods for medical reasoning; uncertainty management; and evaluation functions. Research themes we address include: knowledge acquisition; decision-theoretic approaches; causal reasoning; temporal reasoning and planning; strategies for the diagnosis of multiple diseases; explanation and critiquing; and validation and evaluation of medical expert systems. Finally, the issues and themes we describe are illustrated in the context of several AIM programs--QMR, Pathfinder/Intellipath, and ONCOCIN--that have achieved limited clinical use. --that have achieved limited clinical use.
Address Stanford, CA, USA  +
Author Adam Galper and Glenn D. Rennels and Edward H. Shortliffe and Ramesh S. Patil  +
Bibtype techreport  +
Has author Adam Galper and Glenn D. Rennels and Edward H. Shortliffe and Ramesh S. Patil  +
Has identifier KSL-90-37  +
Has publishing details April,1992  +
Has title Medicine, AI in  +
Has where published KSL-90-37  +
Has year 1992  +
Institution Knowledge Systems, AI Laboratory  +
Ksl tr id KSL-90-37  +
Month April  +
Number KSL-90-37  +
Process note NO  +
Title Medicine, AI in  +
Year 1992  +
Retrieved from "http://tw.rpi.edu/wiki/Medicine%2C_AI_in"
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