Our AI-enabled solutions are enabling pathologists to make precise cancer diagnosis and positively impact their workflow and patient outcomes.
AI for Transforming the Diagnosis and Treatment of Cancer
The integration of AI with digital pathology offers image-based analysis and unification of knowledge that is beyond human limits, making breakthroughs in cancer diagnosis and treatment.
We leverage the power of machine learning and deep learning to make an impact and enhance efficiency, accuracy, and reliability in the area of oncology and improving patient outcomes. Our solutions and algorithms are designed for better image analysis offering features that include identifying regions of interest, ease the process of segmentation and classification of nuclei, counting cells, and analysis of mitosis.
AI Innovations Changing Cancer Diagnosis and Treatment
Workflow optimization and diagnostic applicationsQuality Assurance, Intelligent case triaging, remote reporting and efficient pathology workflow.
Prognostic/predictive applicationsSurvival and prediction outcome based on WSI findings and/or clinicopathological variables.
Clinical Trial Stratification/ Personalized Therapeutic StrategiesIntegration of other data types to provide specific molecular information with good clinical correlations.
AI Modules And Add-Ons
Our AI-enabled solutions aid pathologists to make precise cancer diagnosis and positively impacts their workflow and patient outcomes. These tools enhance slide images, automate image analysis, identify areas of interest, classify, categorize, quantify, and characterize cancer tissue, and thus, improve the efficiency of the diagnostic workflow.
Improving digital image analysis is a major reason AI is being incorporated into digital pathology. Orion AI is transforming computational pathology by harnessing the power of explainable AI to empower pathologists for making accurate and faster decisions by building a diagnostic assistant.
Scope H&E AI
Automatic cell spotting and efficient detection and quantification of nuclei is important for cancer analysis, diagnosis, classification, and grading. Scope H&E AI calculates the morphometric features of each nucleus to accurately identify and quantify the nuclei in H&E stained slides.
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whole Slide imaging
Explainable AI for whole slide Image analysis
The widespread adoption of whole slide imaging has increased the demand for effective and efficient gigapixel image analysis. Our data scientists are transforming computational pathology by harnessing the power of explainable AI to empower pathologists for making accurate and faster decisions by building a diagnostic assistant. This shift from black-box AI (deep learning) to explainable AI solves the concerns related to trust, confidence, and transparency with our end users to adopt AI in pathology workflows.
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