Cooperative Medical Diagnosis Elaboration by Physicians and Artificial Agents

Abstract

Cooperative medical diagnosis systems are well suited for the solving of difficult medical diagnosis problems. The solving of many medical diagnosis problems require knowledge from different medical domains, which cannot be detained by a single physician or a medical computational system. In this paper, a novel medical multiagent system called MASM (Medical Assistant Multiagent System) that can help physicians in the diagnosis processes is proposed. The proposed multiagent System is a complex system, composed from relatively simple agents that cooperatively with physicians can solve difficult medical problems. MASM multiagent system can discover autonomously emergent proprieties, like the necessary cooperation links between agents and cooperation links between physicians that emerge during the problems solving. Discovered cooperation links allows to the MASM system to self-organize depending on the necessities, in order to increases the accuracy of the diagnostics elaborated by the physicians and to reduces the complexity of the diagnosis processes realized by physicians by hiding some of tasks that must be fulfilled.