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Aiforia® Colon Suite leverages AI-driven image analysis on digitized tissue samples, automating triaging and highlighting key findings directly on the slide. It is designed to streamline the digital pathology workflows and provide diagnostic support while ensuring the pathologist remains in full control of interpretation and reporting.
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Designed to streamline the diagnostic workflow for digitized H&E-stained colonoscopy samples. By automating sample triaging and identifying a broad spectrum of key pathologies, such as carcinoma, dysplasia, and active and chronic inflammation, it aims to empower pathologists with enhanced diagnostic support.
> Contact us for availability in your territory
Aiforia® Colonoscopy is currently for Research Use Only (RUO) and for Performance Studies Only (PSO) in all market areas.
Supports the detection and quantification of metastases of breast cancer, melanoma, and colorectal cancer in lymph nodes from whole slide images.
CE-IVD marked for diagnostic use in EU and EEA countries, and for Research Use Only (RUO) and Performance Studies Only (PSO) in all other market areas.
This prognostic AI model provides a recurrence-prediction estimate to support treatment decisions. The estimate is based on the identification of important histological features of colorectal cancer. The AI model was developed and validated in collaboration with the Mayo Clinic.
Aiforia® Colorectal Cancer QuantCRC is currently for Research Use Only (RUO) and for Performance Studies Only (PSO) in all market areas.
Designed to streamline the diagnostic workflow for digitized H&E-stained colonoscopy samples. By automating sample triaging and identifying a broad spectrum of key pathologies, such as carcinoma, dysplasia, and active and chronic inflammation, it aims to empower pathologists with enhanced diagnostic support.
> Contact us for availability in your territory
Aiforia® Colonoscopy is currently for Research Use Only (RUO) and for Performance Studies Only (PSO) in all market areas.
Supports the detection and quantification of metastases of breast cancer, melanoma, and colorectal cancer in lymph nodes from whole slide images.
CE-IVD marked for diagnostic use in EU and EEA countries, and for Research Use Only (RUO) and Performance Studies Only (PSO) in all other market areas.
This prognostic AI model provides a recurrence-prediction estimate to support treatment decisions. The estimate is based on the identification of important histological features of colorectal cancer. The AI model was developed and validated in collaboration with the Mayo Clinic.
Aiforia® Colorectal Cancer QuantCRC is currently for Research Use Only (RUO) and for Performance Studies Only (PSO) in all market areas.
Aiforia takes accuracy beyond standard AI heatmaps by clearly marking the exact tumor areas with detailed visual overlays directly on the digital slides, enabling easy visual confirmation at any magnification level. This approach empowers pathologists with both visual transparency and exact quantitative data, such as accurate tumor area measurements and cell counts, delivering actionable insights.
Aiforia® Clinical Suites conveniently combine results from multiple AI models, WSIs, and stainings into a case-level view and report for first-read diagnostic support.
The AI results are populated directly into the reporting panel. The user can utilize advanced features like case list triaging, pre-ordering of extra stains, and flagging of non-representative samples for a faster workflow.
Gastric cancer often presents with small, scattered, or poorly cohesive tumor cells that can be challenging to detect, particularly in biopsy material. Aiforia® Gastric Cancer is designed to support detection across major histological patterns of gastric carcinoma, helping reduce the risk of missed findings in routine practice.
Rising colonoscopy sample volumes are outpacing the pathology workforce. Discover how AI-assisted digital pathology helps digest the GI biopsy bottleneck.
Dr. Rish Pai from the Mayo Clinic developed an AI model to assist oncologists in deciding which CRC patients should receive chemotherapy and for how long.
Discover how artificial intelligence can aid oncologists and pathologists working in the gastrointestinal field. This webinar showcases an AI model, developed by the Mayo Clinic and Aiforia, that identifies important histological features of colorectal cancer and provides a recurrence prediction estimate useful for treatment decisions.
Aiforia and the University of Bern developed a CE-IVD marked AI model for detecting lymph node metastasis from breast, colorectal, and melanoma cases. This is an excellent proof of how collaboration between academia and industry can result in solutions that will improve healthcare.
