ReviewClinical microbiology reviews2011
Expert systems in clinical microbiology.
Review in Clinical microbiology reviews, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
44 citing papers in PubMed, 1 synthesis or guideline pooled it, 122 citations in OpenAlex.
- Antimicrobial resistance in fish and poultry: Public health implications for animal source food production in Nigeria, Egypt, and South Africa.Frontiers in antibiotics · 2022Pooled it
- Benchmarking four commercial antimicrobial susceptibility testing systems and disk diffusion to reference broth microdilution in the assessment of gram-negative bacterial isolates.Journal of clinical microbiology · 2026Article
- Drug-Resistant Gram-Positive Cocci as Etiological Factors of Cardiac Implantable Electronic Device Infections-Data from the EXTRACT Registry.Antibiotics (Basel, Switzerland) · 2026Article
- Evaluation of expert rules for carbapenemase class identification inJournal of clinical microbiology · 2025Article
- Lack of Association BetweenAntibiotics (Basel, Switzerland) · 2025Article
- Detection of ESBL-producingJournal of clinical microbiology · 2025Article
- Rapid diagnosis of urinary tract infection with miniaturised point-of-care cultivation on a dipstick.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2025Review
- Proceedings of the Clinical Microbiology Open 2024: artificial intelligence applications in clinical microbiology.Journal of clinical microbiology · 2025Article
- Breakpoint drift: a hidden confounder in antimicrobial resistance surveillance?Frontiers in microbiology · 2025Article
- Detection of antimicrobial resistance via state-of-the-art technologies versus conventional methods.Frontiers in microbiology · 2025Review
- Microbiological Survey and Evaluation of Antimicrobial Susceptibility Patterns of Microorganisms Obtained from Suspect Cases of Canine Otitis Externa in Gran Canaria, Spain.Animals : an open access journal from MDPI · 2024Article
- Microbiology and management of Staphylococcus aureus lacrimal system infections: A 10-year retrospective study.PloS one · 2024Article
- Rapid Drug Susceptibility Testing to Preserve Antibiotics.Methods in molecular biology (Clifton, N.J.) · 2024Review
- Comparative Analysis of Two Commercial Automated Systems with Agar Dilution for Oxacillin Susceptibility and Their Association with Genotypes of InvasiveInfection and drug resistance · 2024Article
- The Use of Machine Learning for Image Analysis Artificial Intelligence in Clinical Microbiology.Journal of clinical microbiology · 2023Review
- #AMRrounds: a systematic educational approach for navigating bench to bedside antimicrobial resistance.JAC-antimicrobial resistance · 2023Review
- Performance of the Vitek 2 Advanced Expert System (AES) as a Rapid Tool for Reporting Antimicrobial Susceptibility Testing (AST) inMicrobiology spectrum · 2023Article
- Salmonella Subpopulations Identified from Human Specimens Express Heterogenous Phenotypes That Are Relevant to Clinical Diagnosis.Microbiology spectrum · 2023Article
- Development of a Real-Time Recombinase-Aided Amplification Method to Rapidly Detect Methicillin-ResistantMicroorganisms · 2022Article
- Direct MALDI-TOF MS and Antimicrobial Susceptibility Testing of Positive Blood Cultures Using the FASTMicroorganisms · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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 reading). It considers rule-based systems, pattern-based systems, and data mining and introduces neural nets. A variety of noncommercial systems is described, and the central role played by the EUCAST is stressed. The need for expert rules in the environment of reset EUCAST breakpoints is also questioned. Commercial automated systems with on-board expert systems are considered, with emphasis being placed on the "big three": Vitek 2, BD Phoenix, and MicroScan. By necessity and in places, the review becomes a general review of automated system performances for the detection of specific resistance mechanisms rather than focusing solely on expert systems. Published performance evaluations of each system are drawn together and commented on critically.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.