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Advances in Dental Research
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Adv Dent Res 17:74-76, December, 2003
© 2003 SAGE Publications

AIDA: Web Agents in Dental Treatment Planning

Presented at "Dental Informatics & Dental Research: Making the Connection", a conference held in, Bethesda, MD, USA, June 12–13, 2003, sponsored by the University of Pittsburgh Center for Dental Informatics and supported in part by award 1R13DE014611-01 from the National Institute of Dental and Craniofacial Research/National Library of Medicine.

E. Finkeissen1,*, I. Stamm1, M. Müssig1, J. Streicher1, U. Koke2, C. Helmstetter2, S. Hassfeld2 and T. Wetter1

1 Institute for Medical Biometry and Informatics, Department of Medical Informatics, University of Heidelberg, Im Neuenheimer Feld 400, 69120 Heidelberg, Germany; and
2 Dental School, University of Heidelberg, Germany;

Correspondence: * corresponding author, Ekkehard_Finkeissen{at}med.uni-heidelberg.de

The objective of the AIDA project (Artificial Intelligent Dental Agents, http://aida.uni-hd.de) is the analysis of dental decision-making, the design of a computer-based decision support system, as well as the testing of the decision structure in interactions with dental experts, practicing dentists, and patients. The planning of the solution alternatives for an individual patient is based on a top-down structure for dental decision-making, aiming at a standardization of the argumentation. From a theoretical point of view, decision support can be provided only for anticipated decisions (planning). Moreover, only parts of these anticipated decisions can be supported. Accordingly, a separation of these partial aspects has to take place before one is able to build decision support systems. For prosthetic dentistry, clinicians have been shown how to use individual patient findings to sketch the possible treatment alternatives and later derive guidelines for the treatment. The planning module for fixed prostheses has already been integrated into a software agent. Planning modules for other types of prostheses are currently specified, implemented, and verified.

Key Words: Dentistry • medical informatics • software • knowledge • ontologies • Internet • guideline

Advances in Dental Research, Vol. 17, No. 1, 74-76 (2003)
DOI: 10.1177/154407370301700117
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