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AI-Powered Pathology Slide Triage & Diagnostic Prioritization Platform

Plavno developed an AI-powered digital pathology platform that helps laboratories triage cases, prioritize suspicious slides, and support faster review workflows for pathologists.

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Overview

Key Metrics & Impact

The solution was designed for diagnostic laboratories and pathology teams handling large volumes of digitized tissue slides. It combines whole-slide image processing, suspicious-region detection, triage logic, review support, and workflow integration into one scalable digital pathology platform.

  • Faster prioritization of high-risk pathology cases

  • Reduced time spent on routine negative or low-complexity slide review

  • Better visibility into suspicious tissue regions before full review

  • Improved workload distribution across pathology teams

  • Stronger digital foundation for scalable pathology operations

Solutions
Challenges
Use Cases
<span>Key Metrics</span> & Impact
01

Problem

Digital pathology adoption is growing, but many pathology teams still struggle with increasing case volume, limited specialist capacity, and time-consuming manual review of slides.

Common challenges included:


  • Large queues of pathology cases awaiting review

  • Difficulty prioritizing potentially urgent or suspicious slides

  • High manual effort in scanning large tissue areas

  • Uneven workload distribution across pathologists

  • Growing pressure to improve turnaround time without compromising diagnostic quality


The client needed a solution that could help teams review more efficiently while preserving clinical oversight.

Problem
02

Challenge

The platform needed to:


  • Ingest and process high-resolution whole-slide images

  • Detect suspicious tissue regions and case-level risk signals

  • Support case triage and review prioritization

  • Fit naturally into digital pathology workflows

  • Maintain explainability for pathologist review

  • Scale across multiple labs, scanners, and pathology subdomains


There were also key constraints:


  • Pathology images are large and computationally demanding

  • Workflows differ by tissue type and diagnostic context

  • AI outputs had to support review, not replace the pathologist

  • The system needed to remain usable in routine laboratory operations

Challenge

Solution

AI-Powered Pathology Triage and Prioritization Platform

Plavno integrated whole-slide ingestion, tissue region analysis, suspicious-area detection, case prioritization logic, reviewer workspace support, lab workflow integration, and operational dashboards into one digital pathology workflow — helping labs focus attention where it matters most.

Product Highlights

    • Whole-slide image ingestion and processing

    • Suspicious region detection

    • Case triage and prioritization support

    • Review workspace for pathologists

    • Visualization overlays for flagged areas

    • Integration with digital pathology and lab systems

    • Operational dashboards for lab workload management

User Flows

    • Receive Digital Slides: The platform ingests scanned pathology slides and associated case metadata.

    • Analyze Tissue Regions: AI models assess tissue structure, detect suspicious areas, and assign triage signals.

    • Prioritize the Queue: Cases are ranked or flagged based on triage logic and review urgency.

    • Support Pathologist Review: Pathologists open the case with highlighted regions and structured visual support.

Experience & Scalability

    • Supports diagnostic labs and digital pathology teams

    • Suitable for high-volume histopathology environments

    • Helps optimize specialist review time

    • Works across centralized and distributed lab networks

    • Designed as a scalable AI layer for pathology workflow modernization

Architecture Overview

Deep Dive: Project Architecture

  • Slide Ingestion Layer: Whole-slide images and case metadata are imported into the platform.

  • Image Analysis Layer: AI models process tissue images and identify suspicious regions or structural anomalies.

  • Triage Layer: Case-level prioritization logic helps labs sort slides by review urgency.

  • Review Layer: Pathologists see flagged regions, overlays, and case context in a structured review workspace.

  • Integration Layer: The platform can connect with laboratory systems, pathology viewers, and digital case management tools.

  • Deployment Layer: Supports enterprise-grade digital pathology environments with scalable compute infrastructure.

Deep Dive: <span>Project Architecture</span>

Value

Quality & Fidelity

Better triage visibility, stronger review support, and more scalable pathology workflows

Better Case Prioritization

Better Case Prioritization

The platform helps labs surface urgent or suspicious cases earlier.

Case triage
Pathology AI
Review prioritization
MVP
MVP
Better Region Visibility

Better Region Visibility

Flagged overlays help pathologists focus on the most relevant areas first.

Suspicious regions
Visual guidance
Digital pathology
MVP
MVP
Better Use of Specialist Time

Better Use of Specialist Time

Pathologists spend less time scanning large low-risk areas manually.

Workflow efficiency
Specialist productivity
Lab operations
MVP
MVP
Better Lab Scalability

Better Lab Scalability

The solution supports growing pathology volume without linear growth in review burden.

Scalability
Digital pathology
Diagnostic operations
MVP
MVP

Benchmarks

Scale & Reliability

Built for high-resolution image processing, pathology lab throughput, and scalable digital review environments

High-Volume Slide Processing

High-Volume Slide Processing

Supports large daily volumes of digital pathology images.

Whole-slide imaging
Lab throughput
Computational scale
Workflow Compatibility

Workflow Compatibility

Fits into existing digital pathology and laboratory operations.

Lab integration
Diagnostic workflow
Operational fit
Explainable Review Support

Explainable Review Support

AI outputs are designed to support pathologist review, not replace it.

Explainability
Clinical oversight
Human-in-the-loop
Multi-Site Readiness

Multi-Site Readiness

The architecture can support distributed lab environments and growth across sites.

Multi-lab deployment
Enterprise scale
Pathology infrastructure

Data Protection

Security & Compliance

Enterprise-grade protection for pathology images, case data, and lab workflow integrations

Controlled Case Access

Controlled Case Access

Slides and review workflows are managed through governed diagnostic processes.

Secure Image Handling

Secure Image Handling

Large pathology image files and metadata are processed through protected infrastructure.

Better Diagnostic Traceability

Better Diagnostic Traceability

The platform improves visibility into review order, flagged regions, and AI-supported triage decisions.

Innovative Experience

Industries & Use Cases

AI-powered pathology triage for digital labs, histopathology workflows, and diagnostic modernization

Hospital Pathology Departments

Hospital Pathology Departments

Support large case volumes with smarter review workflows.

Centralized Lab Networks

Centralized Lab Networks

Distribute workload more effectively across teams and sites.

Diagnostic Pathology Labs

Diagnostic Pathology Labs

Improve triage and specialist review prioritization.

Digital Pathology Transformation Programs

Digital Pathology Transformation Programs

Add AI triage on top of digitized slide workflows.

Delivery Crew

Project Team

High-performing developers for growing companies

Eugene Katovich

Eugene Katovich

Sales Manager

Need an AI pathology platform for slide triage and review prioritization?

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Competitive Ability

Key Performance Flow

Showing how Plavno transforms digital pathology slides into AI-assisted triage and review workflows

From whole-slide image ingestion to prioritized diagnostic review — everything runs through one AI-powered pathology workflow.

01

Ingest Digital Slides

The platform receives whole-slide images and case information from pathology systems.

02

Detect Suspicious Regions

AI identifies patterns or areas that may require closer pathologist attention.

03

Prioritize Cases

The system ranks or flags slides based on triage and review urgency.

04

Support Expert Review

Pathologists open cases with highlighted regions and clearer visual context for assessment.

Workflow & Review Support

Workflow & Review Support

    • Pathologist workspace

    • Visual overlays

    • Case-level prioritization

    • Lab system integration

Scale & Operations

Scale & Operations

    • High-volume slide support

    • Multi-lab readiness

    • Scalable compute architecture

    • Digital pathology workflow foundation

AI & Tissue Analysis

AI & Tissue Analysis

    • Whole-slide image processing

    • Suspicious area detection

    • Triage scoring

    • Review-priority logic

Results

Outcomes delivered by an AI-powered pathology slide triage platform

Faster Attention to Suspicious Cases

Faster Attention to Suspicious Cases

High-priority slides can be surfaced earlier in the queue.

More Efficient Review Workflows

More Efficient Review Workflows

Pathologists gain clearer visual guidance and triage support.

Better Lab Throughput

Better Lab Throughput

The platform helps labs manage growing case volume more effectively.

Stronger Digital Pathology Foundation

Stronger Digital Pathology Foundation

The solution creates a scalable base for future AI-assisted pathology workflows.

Reduced Manual Review Burden for Low-Complexity Cases

Reduced Manual Review Burden for Low-Complexity Cases

Pathologists spend less time scanning routine negative or low-complexity slides, allowing them to focus cognitive effort on cases that require deeper diagnostic analysis.

Tools We Used

Technology stack

Imaging Ingestion

Imaging Ingestion

Whole-slide image input
Case metadata
Scanner integrations
Reviewer Workspace

Reviewer Workspace

Overlay viewer
Pathologist workspace
Case review tools
Backend & APIs

Backend & APIs

Backend API
Lab workflow integration
Case routing
AI Layer

AI Layer

Tissue analysis
Suspicious region detection
Triage scoring
Deployment

Deployment

Scalable compute
Cloud infrastructure
Monitoring

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Frequently Asked Questions

Quick Answers

Find answers to your common concerns

Does the platform diagnose cases automatically?

No. It supports pathologists through triage and flagged-region review, but does not replace clinical judgment.

Can it work with digital pathology systems?

Yes. It is designed to integrate with digital pathology viewers, lab systems, and case workflows.

Is it suitable for high-volume labs?

Yes. The platform is built for large slide volumes and specialist review prioritization.

Can it support multi-site pathology operations?

Yes. The architecture can scale across distributed lab environments and centralized diagnostic networks.

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Plavno's efforts in addressing challenges and implementing effective solutions have played a crucial role in the success of T-Rize. The outcomes achieved have exceeded expectations, revolutionizing the investment sector and ensuring universal access to financial opportunities

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Product Manager, T-Rize Group

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Through the partnership with Plavno, we built a system used by more than 40 million connected channels. Throughout the engagement, the team was communicative and quick in responding to our concerns. Overall, we were highly satisfied with the results of collaboration.

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CEO, MediaCube

Michael Bychenok

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Plavno's codes and designs are user-friendly, and they complete all deliverables within the deadline. They are easy to work with and easily adapt to existing workflows, and the client values their professionalism and expertise. Overall, the team has delivered everything that was promised.

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Head of Growth, Codabrasoft LLC

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The MVP app developed by Plavno is excellent and has all the functionality required. Plavno has delivered on time and ensured a successful execution via regular updates and fast problem-solving. The client is so satisfied with Plavno's work that they'll work with them on developing the full app.

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Founder, 24hour.dev

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