Skip to content

ZayaAI Dx

AI Models Developed by Scientist for Pathology Diagnosis

3 Easy steps to diagnosis with the help of AI

Upload the WSI

Whole Slide Image – to your account through the ZAYA online platform

Diagnose

Select action Diagnose the process will only take a few minutes

Results

Get your score results and check diagnostic score data and heatmaps

Explore our AI models

Automated identification of Mycobacterium Tuberculosis in Ziehl Neelsen stains of tissue

  • Rapid identification of Mycobacterium Tuberculosis presence
  • Automatic probability scores of each region of Mycobacterium Tuberculosis presence
  • Provides visual feedback as it allows to view images in different magnifications, move in different x-y-z locations, view image results with locations of Mycobacterium Tuberculosis

Automated diagnosis of urothelial carcinoma in H&E slides

  • Creates a heatmap assisting the pathologist in automatically finding the critical areas of the sample
  • Rapidly distinguishes between normal and cancerous tissue, supporting the pathologist in the quick detection of tumour epithelium
  • Automatically identify low grade, high grade and invasion of tumoral cells of urothelial carcinoma from whole slide images (WSI) saving the pathologist time when evaluating patient samples
  • Provides intelligent viewing and selection of areas with high density of tumoral cells displaying the results of image analysis in different magnifications and enables the user to move in different x-y-z locations
Play Video

Benefits of AI assisted diagnosis tools in pathology

Automated identification of Mycobacterium Tuberculosis in Ziehl Neelsen stains of tissue

  • Improves diagnostic accuracy, reduces bias and standardizes analysis in sample review
  • Speeds up often time-consuming tasks to free up more time for rare and complex cases
  • Increases diagnostic confidence
  • Reduces lab costs
  • Improves diagnostic performance and productivity

Seeing is believing

Book a free demonstration

Book a demo