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ZAYAAI DISEASE INTELLIGENCE SUITE

One AI suite.
Two critical fronts.
One connected workflow.

Research-driven AI models for infectious disease screening and cancer pathology—connected to the images, cases and people who need them.
  • Research-driven
  • Workflow-integrated
  • Pathologist-led
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A FOCUSED SUITE FOR HIGH-IMPACT PATHOLOGY

Turn complex slides into focused review.

ZayaAI models surface relevant regions and structured results so experts can review evidence efficiently—without separating AI from the laboratory workflow.

Detect

Surface candidate bacilli or LVI regions

Prioritize

Guide attention to relevant areas

Review

Keep the pathologist in control

Connect

Link results to IMS and LIS context
TWO MODELS. ONE SUITE.

From infectious disease screening to cancer pathology.

AI-assisted acid-fast bacilli review

Supports review of Ziehl-Neelsen-stained tissue and sputum smears by highlighting candidate regions for expert confirmation.

AI-assisted LVI region review
Highlights regions suspicious for lymphovascular invasion on H&E-stained slides for pathologist review and confirmation.
SEE THE MODELS PRESENTED

Two short presentations. Two clinical challenges.

Explore the scientific rationale, intended workflow and visual experience behind each ZayaAI model.

ZayaAI Tuberculosis
ZayaAI Bladder Cancer
DESIGNED FOR EVIDENCE-FOCUSED REVIEW

AI that supports the work around the diagnosis.

Purposeful tools support daily work without crowding the diagnostic canvas.

Focused capabilities inspired by leading digital pathology platforms, expressed within ZayaAI’s connected laboratory ecosystem.

  1. Candidate-region detectionSurface areas that merit expert attention.
  2. Heatmaps & overlaysMake model outputs visible on the source image.
  3. Guided reviewMove from worklist to relevant image regions.
  4. Structured outputsKeep model result, confidence and context together.
  5. Traceable analysisLink result, model version, user and source image.
  6. Remote collaborationShare cases and findings with specialists.
  7. Scanner flexibilityUse a scanner vendor-agnostic image layer.
  8. Governed accessExpose only locally approved models and workflows.
BETTER TOGETHER

Models become more useful when the workflow is connected.

ZayaAI LIS carries the case. ZayaAI IMS carries the image. The ZayaAI Suite brings model outputs into both.

 
ZayaAI LIS
Case & laboratory context
  • Orders, specimen and patient context
  • Rules, assignments and worklists
  • Structured reporting and sign-out

 

ZayaAI IMS

Image review & collaboration

  • Scanner vendor-agnostic ingestion
  • Whole-slide viewer and annotations
  • Remote review and second opinion

ZayaAI Suite
AI analysis in context
  • Approved model at the right step
  • Visible regions, scores and heatmaps
  • Traceable results linked to the case
BETTER TOGETHER

Models become more useful when the workflow is connected.

ZayaAI LIS carries the case. ZayaAI IMS carries the image. The ZayaAI Suite brings model outputs into both.

 
Identifying Mycobacterium tuberculosis in ZN-stained tissue
Automated candidate detection with heat-map guidance on digitized tissue slides.
  • 510 WSIs in dataset
  • 98.33% study accuracy
95.65% sensitivity · 100% specificity in the clinical test Read the Paper
 
AI analysis of ZN-stained sputum smears
Evaluation of the tissue-trained algorithm as a potential active-TB screening tool.
  • 1,059 smears analyzed
  • 100% sensitivity >90 confidence
86.84% specificity at the reported threshold Read the Paper
 
Automatic identification of LVI in urothelial carcinoma
Semantic segmentation of suspected lymphovascular invasion on H&E-stained slides.
  • 0.77 LVI Dice score
  • 0.62 reported IoU
Published model-development study; expert confirmation remains essential Read the Paper
TRANSPARENT OUTPUTS FOR EXPERT REVIEW

See where the model is looking.

Visual overlays help pathologists evaluate the model
output against the source morphology and retain
responsibility for interpretation.

Candidate acid-fast bacilli regions

Suspected LVI segmentation

RESPONSIBLE DEPLOYMENT

Clinical expertise stays at the center.

Model availability, intended use, validation and regulatory status
must be established for each deployment and geography.

  1. Human review
    Outputs support—not replace—qualified clinical interpretation.
  2. Local validation
    Performance must be assessed for local slides, scanners and protocols.
  3. Traceability
    Record source image, model version, result and reviewing user.
  4. Controlled access
    Enable models only for approved users and intended workflows.
EXPLORE THE ZAYAAI SUITE

See how ZayaAI IMS can connect
your laboratory’s digital workflow.

alk with our team about your infectious-disease or cancer workflow, slide volumes,
scanners, validation needs and deployment model.
Request a tailored demo