AI MODULES FOR CANCER DIAGNOSTICS

QRITIVE’S EXTENSIVE PORTFOLIO OF AI MODULES ACROSS DIVERSE DIAGNOSTIC AREAS
AI MODULES FOR CANCER DIAGNOSTICS

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Overview

Qritive offers a suite of AI-powered diagnostic modules designed to support pathologists across a broad range of clinical applications—from cancer diagnosis and metastasis detection on Hematoxylin and Eosin (H&E) stained whole-slide images (WSI) to biomarker analysis on immunohistochemistry (IHC) WSI.​

These modules deliver fast, accurate, and reproducible results by analyzing entire whole-slide images within seconds. Seamlessly integrated into digital pathology workflows, they help reduce interpretation variability, streamline reporting, and support confident decision-making across different tissue types and diagnostic challenges.​

Explore our AI module portfolio tailored to meet the needs of modern pathology.

Specifications

Qritive AI Product Portfolio
 
Product / Module Core Functionality Key Features & Technology Clinical Impact
QAi Colon Dx Colon Cancer Diagnosis • Identifies benign, dysplastic, and malignant regions
• Uses deep learning on digitized biopsies
• Enhances diagnostic precision
• Reduces variability and manual interpretation errors
QAi Lymph Node Dx Metastasis Detection • Detects macro- and micrometastatic deposits
• Directs attention precisely to high-risk areas
• Improves cancer staging and prognosis
• Significantly reduces metastatic screening time
IHC Biomarker Quantification Biomarker Scoring • Quantifies Ki-67, HER2, and PD-L1
• Supports IHC Whole-Slide Images (WSI)
• Provides objective scoring for treatment decisions
• Aligns results with global clinical guidelines

 

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