1st Edition

Artificial Intelligence In Medicine

Edited By Peter Szolovits Copyright 1982
242 Pages
by Routledge

243 Pages
by Routledge

242 Pages
by Routledge

This book presents the research efforts in the U. S. in artificial intelligence application techniques to medical decision making. It has grown out of a Symposium on Artificial Intelligence in Medicine presented at the 1979 Annual Meeting of the American Association for the Advancement of Science.

1. Artificial Intelligence and Medicine 2. Representation of Expert Knowledge for Consultation: The Casnet and Expert Projects 3. Consultation, Knowledge Acquisition, and Instruction: A Case Study 4. The Development of Clinical Expertise in the Computer 5. Heuristic Methods for Imposing Structure on Ill-Structured Problems: The Structuring of Medical Diagnostics 6. Modeling Knowledge of the Patient in Acid-Base and Electrolyte Disorders 7. Conclusion

Biography

Peter Szolovits is an associate professor in the Department of Electrical Engineering and Computer Science at the Massachusetts Institute of Technology. A specialist in artificial intelligence (AI) with an emphasis on medical applications, he is currently concerned with fundamental issues of representation and reasoning, including protocol analysis to discover how clinicians reason about probability and causality, and with programs which model human expert performance in some areas of medical diagnosis and care.