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Vis-BUS

AI-based Breast Ultrasound Image Analysis Solution

Detects and analyzes abnormal lesions in breast ultrasound images.
Breast Cancer Image, Computer Aided Detection / Diagnosis Software

MFDS

KOREA

[Product Name] Breast Cancer Image, Computer Aided Detection/Diagnosis Software, Class III
[Product License No.] No. Heo24-849 [Date of Initial Approval] 03 December 2024
[Validity Period] 03 December 2024 – 02 December 2029 [Issuer] The Ministry of Food and Drug Safety

    • * The classification of the lesions as benign or malignant is based on the results of the biopsy performed.

    Conventional ultrasound

    Vis-BUS

    Image one
    Image two
    • BI-RADS Category : 3

      Irregular, Parallel, Not circumscribed, Complex cystic and solid, Not posterior feature

    • Cancer Probability Score : 19

      Probably Benign

    `

    Conventional ultrasound

    Vis-BUS

    Image one
    Image two
    • BI-RADS Category : 3

      Irregular, Parallel, Not circumscribed, Indistinct, Not posterior feature

    • Cancer Probability Score : 15

      Probably Benign

    `

    Conventional ultrasound

    Vis-BUS

    Image one
    Image two
    • BI-RADS Category : 3

      Irregular, Parallel, Not circumscribed, Hypoechoic, Not posterior feature

    • Cancer Probability Score : 14

      Probably Benign

    `

    Conventional ultrasound

    Vis-BUS

    Image one
    Image two
    • BI-RADS Category : 3

      Irregular, Parallel, Not circumscribed, Angular, Hypoechoic, Not posterior feature

    • Cancer Probability Score : 13

      Probably Benign

    `

    Conventional ultrasound

    Vis-BUS

    Image one
    Image two
    • BI-RADS Category : 3

      Irregular, Parallel, Not circumscribed, Indistinct, Isoechoic, Not posterior feature

    • Cancer Probability Score : 17

      Probably Benign

    `

  • Automatic Detection of Abnormal Lesions

    Automatically detects the locations of abnormal lesions in breast ultrasound images in real time.

  • Follow up mode

    Automatically matches lesions from previous breast ultrasound examinations, allowing for easy comparison of changes in the lesions.

  • Analysis Report Provision

    Automatically matches lesions from previous breast ultrasound examinations, facilitating a quick and easy comparison of changes in the lesions at a glance.

  • Enhancing Diagnostic Accuracy

    By analyzing the imaging characteristics of lesions and assisting medical professionals in their readings, it enables more accurate diagnoses and reduces the burden of misdiagnosis.

    [Rationale] Enhancing Breast Cancer Detection through Advanced AI-Driven Ultrasound Technology: A Comprehensive Evaluation of Vis-BUS

  • Enhancing Reading Efficiency

    Medical professionals can make quick and accurate readings even in ambiguous or confusing cases through Vis-BUS. Additionally, by utilizing the reduced reading time, they can increase the volume of assessments, leading to greater revenue and growth opportunities for medical institutions.

    [Rationale] Enhancing Breast Cancer Detection through Advanced AI-Driven Ultrasound Technology: A Comprehensive Evaluation of Vis-BUS

  • Integration with Existing Systems

    It is possible to enhance the productivity and efficiency of breast cancer diagnosis without changing existing workflows or purchasing additional equipment. There is no need to upgrade ultrasound equipment or PACS, and once the installation is complete, readings can be conducted in the same manner as before.