ScanDiags will be the world's first product to interpret MRI for orthopaedic conditions for knee and lumbar spine in its first version, providing AI-driven augmented diagnosis to clinicians and radiologists.
The addressed use cases include real-time second opinion, peer review, retrospective review, case comparison and more.
ScanDiags will receive MRI studies via a protected and monitored connection from a PACS system. The service processes all input data and performs its interpretation and prediction routines. After concluding, ScanDiags returns its recommendation in a pdf report to the PACS.
ScanDiags is a modern implementation of artificial intelligence. It combines deep learning, image and text analysis, as well as regression-based machine learning methods. Its core AI is built by applying supervised and unsupervised deep learning methods on unstructured MRI-images and structured EHR-data.
ScanDiags is built in international collaboration with leading public and private hospitals.
The ScanDiags software solution is developed by a team of seasoned machine learning specialists with a track-record of 20+ years of successful artificial intelligence ventures.The initial set of algorithms used in ScanDiags was clinically validated by the University of Zurich, Switzerland, through a blind, histologically verified study. It has also been reviewed with excellent results by UHN, Canada's leading health network.
Link to our website: http://www.scandiags.com