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Related Concept Videos

Visual System01:26

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Light enters the eye through the cornea, a transparent, dome-shaped surface covering the surface of the eyeball that helps to direct and focus incoming light. This light is then channeled toward the pupil, an adjustable opening whose size is controlled by the iris. The iris, a pigmented muscle, regulates the amount of light entering the eye by contracting or dilating the pupil, thereby ensuring optimal light levels for clear vision.
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Updated: Jun 13, 2025

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VADIS: A Visual Analytics Pipeline for Dynamic Document Representation and Information-Seeking.

Rui Qiu, Yamei Tu, Po-Yin Yen

    IEEE Transactions on Visualization and Computer Graphics
    |September 11, 2024
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    Summary
    This summary is machine-generated.

    This study introduces VADIS, a visual analytics pipeline for dynamic biomedical document exploration. It enhances information seeking by adapting to user interest and improving visualization interpretability.

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    Area of Science:

    • Biomedical informatics
    • Information visualization
    • Natural language processing

    Background:

    • Visualizing document embeddings aids information seeking in biomedicine.
    • Existing methods struggle with static embeddings, relevance display, and interpretability.

    Purpose of the Study:

    • To present VADIS, a visual analytics pipeline for user-driven document representation and iterative information seeking.
    • To address limitations in dynamic adaptation, relevance visualization, and interpretability.

    Main Methods:

    • Developed a prompt-based attention model (PAM) for dynamic document embeddings and relevance.
    • Designed a circular grid document map for visualizing relevance and semantic similarity.
    • Introduced corpus-level attention visualization for enhanced interpretability.

    Main Results:

    • VADIS generates dynamic document embeddings and relevance tailored to user queries.
    • The document map effectively displays document relevance and semantic similarity.
    • Attention visualization improves understanding of model focus and aids iterative query refinement.

    Conclusions:

    • VADIS offers an effective, user-driven approach to biomedical information seeking.
    • The pipeline enhances efficiency, relevance identification, and trust in visualization results.
    • VADIS facilitates a dynamic and iterative information-seeking experience for clinicians.