Clinical AI Model for Breast Cancer: Ki67

CE | Breast | Amplifier Integrator | KI67

Amplifier Marketplace Pathology

Description of use

The Aiforia Clinical AI Model for Breast Cancer: Ki67 is able to calculate Ki67 positive and negative cells specifically in invasive areas of human breast tissue in whole slide images (WSI) as well as in specific areas — making it a first-of-its kind diagnostic tool for pathologists to harness the full potential of their own expertise and make decisions with confidence.

The AI Model enables viewing and selection of areas with high density of Ki67-positive cells (“hotspots”) and displays results of image analysis.  A medical professional can view images for a patient case in different magnifications and move in different x-y-z-locations, view image analysis results, and mark and measure features in the images. The Product supports the user's visual interpretation and assists the medical professional in making the diagnosis.

The AI model is an aid to diagnosis but is not the sole basis for diagnosis. Medical professionals have the full responsibility for the clinical report.

How is the application integrated?

  • Application can be launched from Sectra's pathology image window: Yes
  • Results will be shown in Sectra's pathology image window: Yes

Ask your Sectra representative which version of the Sectra PACS is compatible with the highlighted integration standards.

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Other applications by this vendor

Clinical AI Model for Breast Cancer: ER
CE | ER
Intended for use with digitized images of ER stained normal and cancerous human breast tissue to support the detection of tumor epithelium and scoring of ER positive and negative cells of epithelial origin from WSI or the selected image areas.
Clinical AI Model for Breast Cancer: PR
CE | PR
Intended for use with digitized images of PR stained normal and cancerous human breast tissue to support the detection of tumor epithelium and scoring of PR positive and negative cells of epithelial origin from WSI or the selected image areas.
Clinical AI Model for Lung Cancer: PD-L1
CE | PD-L1
Intended for use with digital images of PD-L1-stained cancerous lung tissue with NSCLC of human specimens to support the detection of tumor epithelium and scoring of PD-L1 positive and negative cells of epithelial origin from WSI and displays results of image analysis.

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Are you interested in learning more? Please do not hesitate to get in touch with us at Sectra.

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The application content is provided by the respective AI vendors.