RapidAI has a new product called EdgeIQ. It handles routing inside a health system’s imaging stack. Studies get matched to the right AI model, ranked by urgency, then pushed to clinicians. The tool becomes part of the Rapid Enterprise Platform.
Hospitals running several imaging algorithms know the headache. Each site, scanner and protocol differs. Someone still has to hand-match every study to a model, then maintain that setup.
The system does not treat a study as one file. A single exam can carry several series, and algorithms want different combinations. EdgeIQ reads DICOM metadata and pixel data to work out which series each model needs, then routes them. Acute exams keep the priority rules already set on the scanner.
Third-party algorithms run on it too, not just RapidAI’s own. Health systems get one framework across facilities even when configurations diverge.
Timing is the real distinction. Conventional routing behaves like a handoff once a study is complete. EdgeIQ starts coordinating during image acquisition. In stroke and trauma cases, minutes decide outcomes.
Hospitals have bought imaging AI faster than they have hired people to manage it. Sprawl across vendors is now a standing complaint among radiology leaders.
