This review aims to discuss expert systems in general and how they may be used in
medicine as a whole and clinical microbiology in particular (with the aid of interpretive …

Objectives: We carried out an evaluation of VITEK 2 in five UK laboratories, comparing
results with 'gold standard'agar-dilution MIC data, assessing its ability to recognize resistant …

ABSTRACT A study was designed to assess the impact of the VITEK 2 automated system
and the Advanced Expert System (AES) on the clinical laboratory of a typical university …

EUCAST expert rules have been developed to assist clinical microbiologists and describe
actions to be taken in response to specific antimicrobial susceptibility test results. They …

Interpretive reading analyses the complete resistance profiles of bacteria to multiple
antibiotics and infers the resistance mechanisms present; it aids therapeutic choice and …

Abstract Machine learning (ML) is gaining increased interest in clinical laboratory medicine,
mainly triggered by the decreased cost of generating and storing data using laboratory …

Clin Microbiol Infect 2011; 17: 655–660 Abstract With increased activity and reduced
financial and human resources, there is a need for automation in clinical bacteriology. Initial …

The large, enormously complex expert systems (ES) such as MYCIN, ONCOCIN, and
INTERNIST raised the expectations of many that artificial intelligence (AI) technology would …

The clinical microbiology laboratory has responsibilities ranging from characterizing the
causative agent in a patient's infection to helping detect global disease outbreaks. All of …

Laboratory medicine has evolved from a mainly manual profession, providing few selected
test results to a highly automated and standardized medical discipline, generating millions of …