Aiforia Technologies software

Automate manual tasks, standardize analysis, and find the hard to spot objects with our cloud-based AI software for image analysis. Aiforia Create is made for seamless use by the medical professional to create and use AI models to increase the speed and accuracy of any image analysis application.

Cloud-based platform for teachers to use in histology, anatomy, pathology and other fields — especially useful for remote learning. Made for classes in histology, anatomy, pathology, parasitology, veterinary pathology, and more...with Aiforia Hub, our cloud-based education platform, you can unbind yourself and your students from microscopes, classrooms, and printed materials. The platform allows educators to upload any image from any scanner and share these directly with students. Case notes, annotations and background information can be added along with your images. 

Rapidly distinguishes between normal and cancerous tissue supporting the pathologist in the quick detection of tumor areas. Automatically scores a quantitative Gleason grade score and grade group from WSI, saving the pathologist time. Provides visual feedback as it allows to view images in different magnifications, move in different x-y-z-locations, view image analysis results, and mark and measure significant features in the images.

Creates a heatmap assisting the pathologist in automatically finding the critical areas of the sample. Rapidly distinguishes between normal and cancerous tissue supporting the pathologist in the quick detection of tumor epithelium. Automatically scores the PR positive and negative cells of epithelial origin from either WSI or selected image areas, saving the pathologist time. Provides intelligent viewing as the PR AI Model enables viewing and selection of areas with high density of PR-positive cells, or hotspots, displaying the results of image analysis.

Creates a heatmap assisting the pathologist in automatically finding the critical areas of the sample. Rapidly distinguishes between normal and cancerous tissue supporting the pathologist in the quick detection of tumor epithelium. Automatically scores the ER positive and negative cells of epithelial origin from either WSI or selected image areas, saving the pathologist time. Provides intelligent viewing as the ER AI Model enables viewing and selection of areas with high density of ER-positive cells, or hotspots, displaying the results of image analysis.