title: [Expert systems and antibiotic sensitivity test].
abstract: Artificial intelligence is a part of computer science that deals with programs mimicking intelligence of man. Artificial intelligence is now used to check the quality of the determination of antibiotics susceptibility of bacteria. This application is useful because antibiotic susceptibility is subject to biological and technical variation that have to be detected. Three types of reasoning are used either by the biologist or by expert systems: low level quality checking dealing with individual results, microbiological interpretation of the whole set of results and medical interpretation of the results. The use of artificial intelligence in these fields is sustained by the structured nature of the knowledge. Two type of expert systems are already of routine use, either based on production rules (ATB plus EXPERT, bioMerieux, La Balme-les-Grottes, France and SIR, 12A, Montpellier, France), or on object-oriented representation of the knowledge (EXPRIM from our laboratory). The main problem is, as usually in artificial intelligence applications, to transfer human expertise into an adapted knowledge base. The advantage of experts systems over man are their reproducibility of answer and their availability.
authors.affiliation: Laboratoire de Bactériologie, Faculté de Médecine Lyon-Sud URA 243, Hôtel Dieu, Lyon.
authors.forename: J
authors.initials: J
authors.lastname: Flandrois
authors.forename: G
authors.initials: G
authors.lastname: Carret
mesh_terms: D001185:Artificial Intelligence; D004352:Drug Resistance, Microbial; D005103:Expert Systems; D011786:Quality Control
vernacular_title: Les systèmes experts et l'antibiogramme.