AIMC Topic: Vaginosis, Bacterial

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Rapid diagnosis of bacterial vaginosis using machine-learning-assisted surface-enhanced Raman spectroscopy of human vaginal fluids.

mSystems Dec 10, 2024
UNLABELLED: Bacterial vaginosis (BV) is an abnormal gynecological condition caused by the overgrowth of specific bacteria in the vagina. This study aims to develop a novel method for BV detection by integrating surface-enhanced Raman scattering (SERS...
Humans Neural Networks, Computer Body Fluids Vagina Vaginosis, Bacterial Young Adult Adult Spectrum Analysis, Raman Machine Learning Female
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Performance of deep learning models in predicting the nugent score to diagnose bacterial vaginosis.

Microbiology spectrum Nov 19, 2024
The Nugent score is a commonly used diagnostic tool for bacterial vaginosis. However, its accuracy depends on the skills of laboratory technicians. This study aimed to evaluate the performance of deep learning models in predicting the Nugent score to...
Adult Deep Learning Vaginal Smears Humans Female Vaginosis, Bacterial Japan Vagina
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Vaginal microbiota molecular profiling and diagnostic performance of artificial intelligence-assisted multiplex PCR testing in women with bacterial vaginosis: a single-center experience.

Frontiers in cellular and infection microbiology Apr 5, 2024
BACKGROUND: Bacterial vaginosis (BV) is a most common microbiological syndrome. The use of molecular methods, such as multiplex real-time PCR (mPCR) and next-generation sequencing, has revolutionized our understanding of microbial communities. Here, ...
Vaginosis, Bacterial Microbiota Lactobacillus Vagina Humans ROC Curve Sensitivity and Specificity Artificial Intelligence Young Adult Middle Aged Support Vector Machine Female Adult Multiplex Polymerase Chain Reaction
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Multi-omics analysis identifies potential microbial and metabolite diagnostic biomarkers of bacterial vaginosis.

Journal of the European Academy of Dermatology and Venereology : JEADV Jan 29, 2024
BACKGROUND: Bacterial vaginosis (BV) is a common clinical manifestation of a perturbed vaginal ecology associated with adverse sexual and reproductive health outcomes if left untreated. The existing diagnostic modalities are either cumbersome or requ...
Humans Biomarkers Female Machine Learning Metabolome Multiomics Young Adult RNA, Ribosomal, 16S Microbiota Vaginosis, Bacterial Adult Metabolomics Vagina
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An interpretation algorithm for molecular diagnosis of bacterial vaginosis in a maternity hospital using machine learning: proof-of-concept study.

Diagnostic microbiology and infectious disease Nov 27, 2019
Allplex Bacterial vaginosis assay (Seegene, South Korea) is a molecular test for bacterial vaginosis (BV). A machine learning algorithm was devised on 200 samples (BV = 23, non-BV = 177) converting 7 identified bacterial strains polymerase chain reac...
Proof of Concept Study Sensitivity and Specificity Vaginosis, Bacterial Humans Female Hospitals, Maternity Algorithms Machine Learning Cross Infection Reproducibility of Results Polymerase Chain Reaction Molecular Diagnostic Techniques
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Applying machine learning with MobileNetV2 model for rapid screening of vaginal discharge samples in vaginitis diagnosis.

Scientific reports May 31, 2025
Vaginitis is a prevalent gynecological condition that impacts women's quality of life, with most women likely to experience it at least once. Traditional diagnosis involves manually observing vaginal discharge samples under a microscope. This process...
Adult Middle Aged Adolescent Female Vaginal Discharge Humans Young Adult Gardnerella vaginalis Machine Learning Trichomonas Vaginitis Vaginitis Trichomonas vaginalis Vaginosis, Bacterial
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[Preliminary Study on the Identification of Aerobic Vaginitis by Artificial Intelligence Analysis System].

Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition Mar 20, 2024
OBJECTIVE: To develop an artificial intelligence vaginal secretion analysis system based on deep learning and to evaluate the accuracy of automated microscopy in the clinical diagnosis of aerobic vaginitis (AV).
ROC Curve Microscopy Vagina Vaginosis, Bacterial Lactobacillus Humans Algorithms Artificial Intelligence Female Software Deep Learning
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