AI-powered veterinary diagnostics

Supporting pathologists working in veterinary diagnostic labs, the Aiforia® Platform offers an efficient case-centric workflow for viewing images and analyzing results. Aiforia’s AI applications assist decision-making and automate repetitive or complex tasks. Cases, findings, and markings can easily be shared with colleagues for consultation and collaboration.

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Unlock the full benefits of a digitized workflow

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AI-supported quantification and scoring

Automation of repetitive or difficult tasks for a pathologist to review, adjust as needed, and sign out. 

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Efficient viewing of whole-slide images, hotspots and regions

Fast viewing of analysis results on whole slide images or selected areas for more precise examination and scoring. 

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Collaboration with colleagues

Share cases, findings, and markings easily for consultation and collaboration with colleagues. 

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Seamless integrations

Integrations with any existing laboratory infrastructure unlock the full benefits of a digitized workflow. 

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Veterinary diagnostic AI applications

Examples of applications to support veterinary pathology diagnostics 

  • Mitoses
  • Gastrointestinal
    • H. pylori in stomach samples
    • Immune cell counter
    • Goblet cell detector
  • Bronchoalveolar lavage cytology
  • Tumor margin
  • Tumor detector  
  • Bone marrow cell lineages

Aiforia® Create – AI development tool

Learn more about Aiforia's the most versatile tool for developing deep learning AI models for image analysis.

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CASE EXAMPLE

Finn Pathologists case study: canine mast cell tumor – Ki-67 scoring

  • Mast cell tumor (MCT) is the most common skin tumor in dogs; it can also affect other areas of the body, including the spleen, liver, gastrointestinal tract, and bone marrow.
  • Ki-67 is a nuclear protein only expressed in cells that are dividing. Ki-67 expression can be detected with an antibody, measuring cell proliferation.
  • The frequency of Ki-67 expression is significantly associated with prognosis. 
  • Using outcome data, a cut-off threshold (Ki-67 labeling index) is calculated. Above the threshold, the prognosis for local recurrence and overall patient survival is poorer.

 

Learn more

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Seeing is believing

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Discover the power of AI for image analysis

Find out how to enhance your image analysis work in diagnostic pathology, preclinical studies, or medical research. The demo will be tailored based on your interests.

The demo will help you understand:

  • How AI-assisted image analysis can increase efficiency, precision, and consistency in the pathology workflow.
  • The limitless possibilities Aiforia® Platform offers – both for research and clinical diagnostics – and the suitable use cases for your needs.

We can either demonstrate Aiforia’s image analysis solutions on your own images or any of our application examples (i.e., neuron quantification, automated tumor grading, NASH analysis, etc.).

Fill in the form, and one of our experts will contact you shortly to schedule the time.