AI MODULES FOR CANCER DIAGNOSTICS
QRITIVE’S EXTENSIVE PORTFOLIO OF AI MODULES ACROSS DIVERSE DIAGNOSTIC AREAS
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.
QAi Colon Dx
Colon cancer is the third leading cause of cancer-related deaths globally, highlighting the critical need for accurate and early diagnostic support. QAi Colon Dx addresses this need by assisting in the differentiation between benign and malignant colon tissue, enhancing diagnostic precision in pathology assessments.
Powered by deep learning technology, QAi Colon Dx is trained to accurately identify benign, dysplastic, and malignant regions on digitized colon biopsies. By highlighting high-risk areas and supporting consistent evaluations, it helps pathologists reduce variability and potential errors associated with manual interpretation.
Through objective and reproducible analysis, QAi Colon Dx improves diagnostic confidence and contributes to more timely and accurate identification of colon tissue abnormalities.
Accurate detection of lymph node metastasis is critical for cancer staging, prognosis, and treatment planning. Identifying micrometastases, in particular, requires detailed examination and can be time-consuming. QAi Lymph Node Dx addresses this clinical need by assisting pathologists in detecting both macro- and micrometastatic deposits, improving the accuracy and efficiency of cancer diagnosis.
Leveraging a deep learning approach, QAi Lymph Node Dx directs attention precisely to areas of concern, significantly reducing the time required for metastatic screening. It supports faster, more consistent pathology reporting and aids clinical decision-making for patients with metastatic disease.
QAi Lymph Node Dx
CLINICALLY VALIDATED AND SCIENTIFICALLY RECOGNIZED
OUR AI DIAGNOSTIC MODULES ARE BACKED BY ROBUST CLINICAL VALIDATION AND FEATURED IN LEADING MEDICAL JOURNALS AND CONFERENCES, ENSURING ACCURACY, RELIABILITY, AND IMPACT.
IHC BIOMARKER QUANTIFICATION
OBJECTIVE SCORING TO SUPPORT TREATMENT DECISIONS
Qritive’s IHC modules are developed to deliver accurate, reproducible, and clinically meaningful quantification of key biomarkers such as Ki-67, HER2, and PD-L1.
These modules help pathologists achieve consistent scoring aligned with diagnostic and treatment guidelines, supporting clearer decisions in cancer care.
QAi Ki-67 Quant applies advanced image analysis techniques to deliver consistent and objective quantification of Ki-67 expression in IHC assays. Accurate measurement of Ki-67 is essential for assessing tumor aggressiveness and guiding treatment decisions.
QAi Ki-67 Quant enables precise identification and quantification of Ki-67-positive tumor cells on IHC WSI, helping pathologists reduce variability and improve consistency in scoring.