Distributed intelligent medical assistant for osteoporosis detection.
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.
Chaari
Wided Lejouad
WL
National School for Computer Studies, SOIE Lab., Manouba University, 2010 TUNISIA. wided.chaari@ensi.rnu.tn; chaari.itc@planet.tn
Moisan
Sabine
S
Ghalila
Sylvie Sevestre
SS
Rigault
Jean-Paul
JP
D015519:Bone Density; D016208:Databases, Factual; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D010024:Osteoporosis / Q000000981:diagnostic imaging*; D011859:Radiography; D012984:Software