title: 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.
authors.affiliation: National School for Computer Studies, SOIE Lab., Manouba University, 2010 TUNISIA. wided.chaari@ensi.rnu.tn; chaari.itc@planet.tn
authors.forename: Wided Lejouad
authors.initials: WL
authors.lastname: Chaari
authors.forename: Sabine
authors.initials: S
authors.lastname: Moisan
authors.forename: Sylvie Sevestre
authors.initials: SS
authors.lastname: Ghalila
authors.forename: Jean-Paul
authors.initials: JP
authors.lastname: Rigault
mesh_terms: 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