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  • Pixel Matrix
    Model sentence
    The raw digital image is converted into a complex pixel matrix for analysis by the AI.
    Pixel Matrix
    The numerical grid representation of an image, where each cell represents the intensity value of the X-ray or scan data.
  • Sensitivity
    Model sentence
    High sensitivity ensures that the model successfully identifies nearly all cases of the targeted pathology.
    Sensitivity
    The ability of a diagnostic tool to correctly identify positive cases of disease.
  • Specificity
    Model sentence
    Good specificity helps the model avoid false positives by correctly identifying healthy tissue.
    Specificity
    The ability of a diagnostic tool to correctly identify negative cases, excluding healthy tissue.
  • Diagnostic Probability Score
    Model sentence
    The AI model assigns a diagnostic probability score to indicate the likelihood of a detected abnormality.
    Diagnostic Probability Score
    A numerical value output by an AI model representing the likelihood of a specific pathological finding.
  • Convolutional Neural Network (CNN)
    Model sentence
    A Convolutional Neural Network (CNN) analyzes complex medical images by extracting features layer-by-layer to identify specific pathologies.
    Convolutional Neural Network (CNN)
    A deep learning algorithm specifically designed to process pixel data and recognize patterns in medical images.
  • Ground Truth
    Model sentence
    The accuracy of the algorithm is measured against the ground truth established by board-certified radiologists.
    Ground Truth
    The validated, expert-labeled data used to train and evaluate the accuracy of medical AI algorithms.
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List of words

Pixel Matrix
The numerical grid representation of an image, where each cell represents the intensity value of the X-ray or scan data.
The raw digital image is converted into a complex pixel matrix for analysis by the AI.
Sensitivity
The ability of a diagnostic tool to correctly identify positive cases of disease.
High sensitivity ensures that the model successfully identifies nearly all cases of the targeted pathology.
Specificity
The ability of a diagnostic tool to correctly identify negative cases, excluding healthy tissue.
Good specificity helps the model avoid false positives by correctly identifying healthy tissue.
Diagnostic Probability Score
A numerical value output by an AI model representing the likelihood of a specific pathological finding.
The AI model assigns a diagnostic probability score to indicate the likelihood of a detected abnormality.
Convolutional Neural Network (CNN)
A deep learning algorithm specifically designed to process pixel data and recognize patterns in medical images.
A Convolutional Neural Network (CNN) analyzes complex medical images by extracting features layer-by-layer to identify specific pathologies.
Ground Truth
The validated, expert-labeled data used to train and evaluate the accuracy of medical AI algorithms.
The accuracy of the algorithm is measured against the ground truth established by board-certified radiologists.