RAPID ICH can detect all types of brain haemorrhages with a sensitivity and specificity greater than 90%. This innovative technology was developed and validated using over a thousand CT scans from stroke centres worldwide. This new RAPID module automatically processes images from a scanner and assesses them for haemorrhage. Results are immediately available to doctors via PACS/Workstation, RAPID Mobile app and email.
“RAPID ICH is the next step in AI-powered imaging technology,” said Greg Albers, professor of Neurology at Stanford University, director of the Stanford Stroke Center and co-founder of iSchemaView. “By providing radiologists, neurologists and other clinicians this level of detection for all types of haemorrhages in such a small window of time, from minutes compared to the current standard of care of more than an hour, will promote better and faster decision making for improved patient care and outcomes. RAPID ICH will be extremely useful to facilitate triage decisions in both primary stroke centres and mobile stroke units.”
Developed by leading stroke experts, RAPID technology has been selected for use in several ground-breaking trials that have changed treatment guidelines issued by both the American Heart Association and American Stroke Association. The RAPID Artificial Intelligence framework combines deep learning, machine learning and expert feature extraction. It is the only clinically validated imaging solution for stroke diagnostic support worldwide. This proven platform is being used for more than 350,000 scans per year by thousands of healthcare professionals in over 40 countries.