Distributed Intelligent Medical Assistant for Osteoporosis Detection

Abstract

This paper describes a distributed knowledge-based system managing medical image processing programs to assist physicians in establishing image analysis protocols. We rely on program supervision techniques that aim to automatically plan and control complex software usage. Our main contribution is to allow physicians who are not experts in computing to efficiently use various osteoporosis detection programs in a distributed environment. A distributed supervision system allows either to simply consult knowledge bases, or to execute remote queries, or to collaborate with distant partners to design knowledge bases and programs.

Generating Knowledge-Based System Generators

“…Like lama, this toolkit relies on frames, rules, and hierarchies and on (Java) class libraries. It uses CORBA interfaces for information exchange, while we have rather experimented an agent-based approach when it comes to distribution (Lejouad-Chaari, Moisan, Sevestre-Ghalila, & Rigault, 2007).…”