AIMC Topic: Bacteriological Techniques
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Interpretation of Bacterial Smears and Cultures Using Artificial Intelligence.
Clinics in laboratory medicine
Nov 18, 2024
The use of artificial intelligence (AI) to aid in the diagnosis of infectious diseases is a growing area of interest. AI-based applications in the clinical microbiology laboratory have shown great prospect for the automated interpretation of smears a...
Combining Artificial Intelligence and Simplified Image Processing for the Automatic Detection of Mycobacterium tuberculosis in Acid-fast Stain : A Cross-institute Training and Validation Study.
The American journal of surgical pathology
Apr 9, 2024
Tuberculosis (TB) poses a significant health threat in Taiwan, necessitating efficient detection methods. Traditional screening for acid-fast positive bacilli in acid-fast stain is time-consuming and prone to human error due to staining artifacts. To...
Development and evaluation of an artificial intelligence for bacterial growth monitoring in clinical bacteriology.
Journal of clinical microbiology
Apr 4, 2024
In clinical bacteriology laboratories, reading and processing of sterile plates remain a significant part of the routine workload (30%-40% of the plates). Here, an algorithm was developed for bacterial growth detection starting with any type of speci...
Development of a smartphone-based lateral-flow imaging system using machine-learning classifiers for detection of Salmonella spp.
Journal of microbiological methods
Jul 17, 2021
Salmonella spp. are a foodborne pathogen frequently found in raw meat, egg products, and milk. Salmonella is responsible for numerous outbreaks, becoming a frequent major public-health concern. Many studies have recently reported handheld and rapid d...
MALDI-TOF MS platform combined with machine learning to establish a model for rapid identification of methicillin-resistant Staphylococcus aureus.
Journal of microbiological methods
Nov 30, 2020
MALDI-TOF MS is an effective potential tool to distinguish between MSSA and MRSA. By combining the ClinProTools3.0 software and manual grouping intervention, we proposed a model optimization method for the first time. The cross validation of the mode...
Sequence-enabled community-based microbial source tracking in surface waters using machine learning classification: A review.
Journal of microbiological methods
Sep 4, 2020
The development of Microbial Source Tracking (MST) technologies was borne out of necessity. This was largely due to the: 1) inadequacies of the fecal indicator bacterial paradigm, 2) fact that many fecal bacteria can survive and often grow in the env...
Evaluation of the VITEK MS knowledge base version 3.0 for the identification of clinically relevant Mycobacterium species.
Emerging microbes & infections
Jul 4, 2018
Different Mycobacterium spp. infections may indicate varied treatment regimens in the clinic. Thus, the species-level identification of Mycobacterium spp. is one of the most important tasks for a clinical microbiology laboratory. Although matrix-assi...
Screening for active pulmonary tuberculosis: Development and applicability of artificial neural network models.
Tuberculosis (Edinburgh, Scotland)
May 19, 2018
Tuberculosis (TB) remains a significant public health challenge, motivated by the diversity of healthcare epidemiological settings, as other factors. Cost-effective screening has substantial importance for TB control, demanding new diagnostic tools. ...
Diagnosis, Computer-Assisted
Decision Support Systems, Clinical
Mass Screening
Humans
Predictive Value of Tests
Sputum
Female
Risk Assessment
Adult
Tuberculosis, Pulmonary
Bacteriological Techniques
Reproducibility of Results
Brazil
Male
Risk Factors
Neural Networks, Computer
Mycobacterium tuberculosis
Lung
Young Adult
Middle Aged
Decision Support Techniques
Prevalence
Databases, Factual
Reduced methicillin-resistant Staphylococcus aureus biofilm formation in bone cavities by photodynamic therapy.
Photodiagnosis and photodynamic therapy
Dec 20, 2017
UNLABELLED: Photodynamic Therapy (PDT) is a promising alternative for the treatment of infectious bone lesions in the oral cavity. The objective of this study was to evaluate the antimicrobial effectiveness of PDT using blue LED associated with curcu...
Factors contribute to efficiency of specimen concentration of Mycobacterium tuberculosis by centrifugation and magnetic beads.
International journal of mycobacteriology
Jun 25, 2015
BACKGROUND: A concentration of specimen is recommended for the effective recovery of Mycobacterium tuberculosis (MTB), but the bacteriological efficiency is not well evaluated. The present study evaluated the factors contributing to concentration eff...
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