Cytopathology Workflows are Positively Impacted
Seamlessly incorporate our AI-powered computation platform into your existing cytopathology workflows and IT infrastructure.
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Digital Cytology That Easily Integrates into Your Existing Workflows
Compatible Slide Imaging Systems
Compatible Papanicolaou Stained Slide Preparation Methods
Cytospin
SurePath
ThinPrep
Direct
Enhance Your Cytology Practice
with Artificial Intelligence
Artificial Intelligence Enhances Quality of Care

Value of AI-Assist

  • Combining WSI, qualitative morphology & quantitative metrics, AI-assist ‘powers-up’ diagnostic confidence
  • AIxMed algorithms with AI-assisted viewing minimize guesswork on abnormal cell counts, N/C ratio, nuclear size, and morphology criteria
  • Facilitates QC review, education, and conference case presentations
Efficiency, Accuracy, and Reproducibility
  • AIxMed technology reduces average screening time by 50%
  • Performance variability and confirmation bias are reduced by observable and reproducible statistical criteria for pathologic processes
  • AI follows internationally recognized cytology diagnostic standard criteria
Digital Scanning Made Smarter
  • Addresses 3D nature of cellular cytology slides
  • Automatically selects and ranks cells of interest for display
  • Calculates cell counts, cell characteristics, and risk profiles
  • Easy navigation to whole slide image for overview
IT Friendly
  • Interfaces with laboratory information systems and digital scanners
  • Rapid digitization of cytology slides
  • Uses less power and digital storage than most AI, with small image files
  • Easily transmitted files for sharing
Digital Cytology from AIxMed is the Robust Choice
Atypical and suspicious cells could be anywhere in a vast 3D cytology sample slide. If a single focal plane is digitized, cytologists could miss valuable and life-changing opportunities to identify cells of interest.
The AIxMed platform uses our innovative proprietary technology to rapidly scan the whole slide in multiple Z-planes to capture abnormal cells at all depths.
Z-planes are automatically stacked for an accurate view of the cells of interest, with gallery presentation of selected cells and their statistics
Walk Through A Digital Cytology Practice
1. Sample Preparation
  • Compatible liquid-based preparations:
    • Cytospin (cytocentrifuge)
    • UroCyte™  or ThinPrep™ non-gynecologic method (Hologic, Inc)
    • CytoRich® non-gynecologic method (Becton Dickinson, Inc)
  • Standard Papanicolaou Stain
2. Digital Scanning with Rapid AI Software Image Capture
  • Compatible with multiple digital scanners
    • Up to 10 slides per hour
    • Complete cell coverage over multiple Z-planes
    • Upload images to AIxMed computational platform
  • Image Capture
    • Optimal focal plane determined by special light spectrum
    • Cell selection follows standardized cytology criteria
    • Target cell compression into focused thumbnail image
3. Quantitative Slide Statistics for Abnormal Findings
  • Whole slide statistics overview on landing page
  • Total number of abnormal cells/cell groups by category
  • Option to zoom in or perform WSI digital microscopy review
  • Option to bookmark and retrieve “best” examples
4. Cell-Specific Quantitative and Qualitative Data
  • The AIxMed Cytology Viewing software is intuitive and easy to navigate
  • Minimal training required
  • Enjoy digital screening options including changing magnifications, WSI screening, annotations, and bookmarks
  • Uses The Paris System criteria
AI-Based Solutions for Diverse Application Areas
For Urine Cytology:
Bladder Cancer
Find out more
AIxURO detects suspicious and atypical cells from a non-invasive urine sample.
Find out more
For Thyroid Cytology:
Thyroid Cancer
Coming soon
AIxTHY: Revolutionizing thyroid cancer detection and diagnosis.
Coming soon
For Cervical Cytology:
Cervical Cancer
Coming soon
AIxPAP: Cervical cancer is preventable but remains a major health challenge.
Coming soon
For Pulmonary Cytology:
Lung Cancer
Coming soon
AIxPUL: Empowering precision in lung cancer detection.
Coming soon