AI Tools & Platforms in Pathology

Paige AI

New York, USA

Products: Paige Prostate, Paige Breast, FullFocus

Clinical Focus: Prostate cancer detection, breast cancer screening

Regulatory: FDA 510(k) cleared (first AI in pathology, 2021); CE-IVD marked

Technology: Deep learning on whole slide images; trained on Memorial Sloan Kettering data

Partnerships: Memorial Sloan Kettering Cancer Center, Microsoft

Integration: Compatible with major LIS platforms and scanners

PathAI

Boston, USA

Products: AISight, PathExplore

Clinical Focus: Biomarker quantification, clinical trial pathology, companion diagnostics

Regulatory: Clinical trials focus; regulatory submissions in progress

Technology: Multi-modal AI for tissue analysis and biomarker scoring

Partnerships: Bristol-Myers Squibb, Roche, Novartis

Integration: Cloud-based platform; scanner-agnostic

Ibex Medical Analytics

Tel Aviv, Israel

Products: Galen Platform (Galen Prostate, Galen Breast, Galen Gastric)

Clinical Focus: Prostate, breast, and gastric cancer detection

Regulatory: CE-IVD marked; clinical deployment across European laboratories

Technology: CNN-based analysis; claims 99%+ sensitivity for cancer detection

Partnerships: Multiple European hospital networks

Integration: Integrates with Philips, Hamamatsu, Leica scanners and major LIS

Lunit

Seoul, South Korea

Products: Lunit SCOPE (PD-L1, HER2, Immune Phenotyping)

Clinical Focus: PD-L1 scoring, HER2 quantification, immune cell phenotyping

Regulatory: CE-IVD marked

Technology: Deep learning for IHC biomarker scoring; strong in companion diagnostics

Partnerships: Guardant Health, multiple oncology networks

Integration: Cloud and on-premise deployment options

Aiforia Technologies

Helsinki, Finland

Products: Aiforia Create, Aiforia Clinical

Clinical Focus: Custom AI model training, tissue quantification, research analytics

Regulatory: CE-IVD (Aiforia Clinical); research use (Aiforia Create)

Technology: Cloud-based deep learning platform; no-code model training interface

Adoption: Used by 100+ pharmaceutical and academic organisations worldwide

Integration: Scanner-agnostic; supports all major WSI formats

Proscia

Philadelphia, USA

Products: Concentriq AP-Dx

Clinical Focus: Digital pathology workflow management with integrated AI applications

Regulatory: FDA and CE pathway for enterprise deployment

Technology: Enterprise-grade platform combining image management, workflow orchestration, and AI

Deployment: Cloud and hybrid deployment for health systems

Integration: Open architecture; supports third-party AI algorithm integration

Hamamatsu Photonics

Hamamatsu, Japan

Products: NanoZoomer series (S360, S60, XR) + AI analysis modules

Clinical Focus: Whole slide scanning hardware with integrated AI software modules

Regulatory: CE-IVD (scanners); FDA 510(k) cleared scanners

Technology: High-speed line-scanning optics combined with proprietary AI analysis

Market Position: Largest scanner install base globally

Integration: NDP.serve image management; open API for third-party AI

Sectra

Linköping, Sweden

Products: Sectra Digital Pathology (part of Sectra Medical PACS)

Clinical Focus: Enterprise workflow, reporting, AI integration layer for pathology

Regulatory: CE marked; deployed across UK NHS and Scandinavian health systems

Technology: PACS-integrated digital pathology with vendor-neutral AI marketplace

Deployment: Strong in Scandinavia, UK NHS, and European health networks

Integration: Scanner-agnostic; integrates with radiology PACS, LIS, and EHR systems

QuPath

Open-source platform for whole slide image analysis. Extensive annotation tools, scripting via Groovy, built-in machine learning classifiers, and active community support. Widely adopted in academic research.

ASAP

Automated Slide Analysis Platform. Lightweight, fast open-source viewer and annotation tool developed by the Computational Pathology Group at Radboud University Medical Center. Supports large WSI files efficiently.

Labelbox

Enterprise data labelling platform with support for medical imaging and pathology workflows. Features include collaborative annotation, quality assurance, model-assisted labelling, and dataset management.

V7 Labs

AI-powered annotation platform with auto-annotation capabilities for pathology images. Supports polygon, brush and semantic segmentation tools with model-in-the-loop training workflows.

SlideScore

Web-based slide scoring and annotation platform designed for pathology research studies and clinical trials. Supports multi-observer studies, scoring protocols and structured data export.

Clinical Needs Assessment

Define the specific diagnostic challenges you are solving. Identify target cancers, biomarkers, and case volumes. Determine whether the primary use case is screening, quality assurance, quantification, or primary diagnosis.

IT Infrastructure Requirements

Assess your existing digital pathology infrastructure. Evaluate network bandwidth, storage capacity, scanner compatibility, and whether cloud, on-premise, or hybrid deployment best fits your organisation.

Regulatory Requirements by Country

Confirm that the platform holds the appropriate regulatory clearance for your jurisdiction. FDA 510(k) for the United States, CE-IVD under IVDR for the European Union, SFDA for Saudi Arabia, and equivalent approvals for other markets.

Total Cost of Ownership

Calculate the full cost including licensing fees, infrastructure upgrades, scanner acquisition, storage, training, validation studies, and ongoing maintenance. Compare per-case pricing against enterprise subscription models.

Training & Validation Requirements

Plan for pathologist training, competency assessment, and clinical validation. Establish a validation protocol aligned with CAP, RCPath or local guidelines. Consider the learning curve and change management needs.