Aiforia Technologies software

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. 

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.

An intuitive user interface in which you can easily adapt your AI model to accommodate changes if they are needed. Easy management and monitoring for QC and auditing purposes. Compliant with the FDA’s Good Machine Learning Practices (GMLP), a framework outlining best practices in software engineering and quality management of AI systems.

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.

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 PD-L1 positive and negative cells of epithelial origin from whole slide images (WSI) saving the pathologist time when evaluating patient samples. Provides intelligent viewing and selection of areas with high density of PD-L1 positive cells displaying the results of image analysis in different magnifications and enables the user to move in different x-y-z-locations, as well as to mark and measure features in the images.