RapidAI

RapidAI is an advanced, enterprise-grade deep clinical artificial intelligence platform built to accelerate diagnosis and coordinate care for acute, life-threatening vascular conditions. Operating silently behind the scenes within hospital systems, the platform analyzes non-contrast CT scans, CT angiograms, and MR images immediately after they are completed. By combining automated imaging analysis with real-time mobile notifications, RapidAI cuts down cross-departmental coordination time from hours to minutes, allowing stroke and emergency teams to make critical transfer and intervention decisions faster and with greater confidence.

The platform features over 30 cleared modules designed to support clinical workflows across multiple complex vascular conditions. For ischemic stroke management, modules like Rapid LVO and Rapid LMVO provide full brain coverage to map out both large and distal vessel occlusions, while the platform's clinically validated CT and MR Perfusion engines automatically quantify blood flow deficits. For traumatic brain injuries and emergency neurological care, the platform deploys modules like Rapid ICH and Rapid SDH to isolate intracranial and subdural bleeds, Rapid MLS to calculate midline brain shifts down to sub-millimeter measurements, and Rapid OH to flag obstructive hydrocephalus in under 60 seconds. Beyond neurology, the ecosystem provides Rapid PE for treating pulmonary embolisms and Rapid Aortic for mapping pathology from the aortic arch down to the iliac arteries.

The Rapid Mobile App functions as a secure, real-time collaboration command center that links emergency room doctors, radiologists, and interventional specialists across hub-and-spoke hospital networks. When the underlying AI engine flags a suspected anomaly, a real-time notification is sent simultaneously to the entire on-call care team, bypassing traditional hospital paging bottlenecks. Within the app, clinicians can view full high-fidelity DICOM imaging overlays, read automated case summaries, consult securely via in-app messaging, and initiate critical transfer or procedural workflows with a single touch, maintaining continuity of care while the patient is actively in transit.

How does RapidAI integrate with existing hospital IT infrastructures and reporting systems?
The platform is built on a vendor-neutral architecture deployed via the Rapid Edge Cloud, combining cloud-first processing speeds with secure on-premise components. It establishes direct, bi-directional connectivity with localized Picture Archiving and Communication Systems, Electronic Health Records, and primary radiology reporting software. For radiology departments specifically, the platform embeds into workflows through Rapid Navigator Pro, a dedicated interface that prioritizes active worklists based on AI acuity findings, standardizes longitudinal measurements, and automatically pre-populates structured report text to eliminate manual data entry.