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Nugent Score

Nugent score is a grading system that evaluates bacterial populations in vaginal samples to diagnose bacterial vaginosis. It helps standardize the identification of bacterial imbalances based on Gram-stained slides.

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The Nugent score identifies shifts in vaginal microbiota by analyzing bacterial types like Lactobacilli, Gardnerella, and Mobiluncus. It assigns a score to determine whether the sample indicates normal flora, intermediate flora, or bacterial vaginosis.

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The system focuses on Lactobacilli (Gram-positive rods), Gardnerella vaginalis (Gram-variable rods), and Mobiluncus species (Gram-negative curved rods). These bacteria are graded to assess the vaginal microbiota balance.

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Manual Nugent scoring requires expertise to classify bacterial morphologies accurately. Challenges include subjectivity, variability in interpretation, and potential for human error in assessing Gram-stained slides.

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Nugent score interpretation depends heavily on the examiner's experience and skill. Variability in training or technique can lead to inconsistent results, affecting diagnostic reliability.

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Automation standardizes the scoring process by using AI to classify bacterial morphologies and calculate scores, reducing human error and variability. This improves accuracy and speeds up analysis.

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AI automates the identification and classification of bacteria in Gram-stained images, providing consistent Nugent scores. It also streamlines the process, making it faster and less reliant on manual interpretation.

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CarbConnect uses AI-powered image analysis to automate Nugent score calculations. It enables efficient scoring and secure sharing of results, supporting both clinical diagnostics assistant and microbiology research.

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