RapidAI

Overview

RapidAI is an enterprise-grade clinical AI platform purpose-built to accelerate diagnosis and care coordination for time-critical medical conditions. Deployed at more than 2,250 hospitals globally, the platform provides real-time decision support for neurovascular, cardiac, and vascular imaging, enabling clinicians to detect and triage conditions such as stroke, aneurysm, and large vessel occlusion with greater speed and precision. As a medical-grade solution, RapidAI integrates directly with existing imaging and clinical workflows to reduce time-to-treatment and improve patient outcomes.

The platform leverages advanced AI algorithms to analyze medical images in three minutes or less, automatically flagging suspected abnormalities and delivering results directly through PACS, email, and the Rapid mobile application. RapidAI supports all scanner manufacturers and models, and installs within the hospital firewall, eliminating the need for additional workstations. With 14 FDA-cleared modules and a strong evidence base—including 11 publications in the New England Journal of Medicine—RapidAI brings validated AI decision support into routine clinical practice.

Beyond stroke care, RapidAI extends into cardiac and vascular applications, covering a broad spectrum of acute conditions. The platform is designed for seamless interoperability with EHR, PACS, and hospital workflow systems, allowing multi-disciplinary teams across emergency, radiology, neurology, and cardiology to coordinate care in real time. Its cross-network coordination features enable faster communication between referring and treatment centers, which is critical for transferring patients to appropriate care facilities rapidly.

RapidAI is built for health systems seeking to standardize AI-driven imaging analysis across their enterprise. By delivering actionable results at the point of care, the platform empowers clinicians to make faster, more informed decisions—ultimately reducing disability and saving lives in acute medical emergencies.

Core capabilities

Real-time AI analysis

Processes imaging studies in 3 minutes or less, enabling rapid detection and triage of acute conditions.

DICOM integration

Seamlessly connects with any scanner manufacturer or model, operating within the hospital firewall without extra workstations.

Mobile notifications

Sends immediate alerts and results to care teams via the Rapid mobile app, supporting on-the-go decision-making.

Cross-network coordination

Facilitates communication and patient transfer coordination across hospitals and stroke networks.

EMR integration

Integrates with electronic medical records to streamline clinical workflows and documentation.

Comprehensive specialty coverage

Supports neurovascular, cardiac, and vascular imaging with 14 FDA-cleared modules.

Evidence-backed algorithms

Backed by 11 NEJM publications and a 17.5 impact factor, ensuring clinical credibility.

Enterprise-scale deployment

Designed for multi-hospital health systems, standardizing AI decision support across the entire organization.

Use cases

Rapid detection and triage of acute ischemic stroke from CT or MRI imaging

Identifying large vessel occlusion (LVO) to activate endovascular treatment pathways

Evaluating aneurysms and subarachnoid hemorrhage in neurovascular emergencies

Supporting cardiac imaging analysis for acute cardiac events

Vascular imaging assessment for aortoiliac and peripheral vascular conditions

Coordinating patient transfers between primary stroke centers and comprehensive stroke centers

Enabling enterprise-wide standardized AI imaging review across multi-site hospital networks