RapidAI Product Information

RapidAI Platform for Stroke, Aneurysm, and Pulmonary Embolism (PE) is an AI-powered clinical decision support (CDS) platform designed to accelerate and improve triage, imaging interpretation, and patient workflow for cerebrovascular and vascular conditions. Built for speed, scalability, and security, RapidAI integrates AI-assisted imaging analysis with workflow tools to help clinicians make faster, more accurate treatment decisions at the point of care. The platform highlights rapid detection and tracking of large vessel occlusion (LVO), intracranial hemorrhage (ICH), hyperdensity, ASPECTS, hypodensity, CTA/CTP/MRI analytics, and PE care pathways, across a broad hospital network. It is widely deployed across hundreds of hospitals and is supported by 15 years of development and tens of millions of lives impacted.


How it Works

  1. AI-powered imaging analysis. The platform analyzes NCCT, CTA, CTP, MRI, and other imaging modalities to detect and quantify suspected stroke, aneurysm, and PE findings with clinical depth.
  2. Decision support at the bedside. Clinicians receive fast, actionable insights to aid triage, transfer decisions, and treatment planning.
  3. Integrated workflows. RapidAI provides workflow optimization and EMR integration to align teams, speed decisions, and improve patient throughput.
  4. Analytics and transparency. Data-driven dashboards and insights support clinical trials, performance metrics, and continuous improvement.

Solutions & Portfolio

  • Stroke: Rapid NCCT, Rapid ICH, Rapid Hyperdensity, Rapid SDH, Rapid ASPECTS, Rapid Hypodensity, Rapid CTA, Rapid LVO, Rapid CTP, Rapid MRI, Rapid Workflow for Stroke, AngioFlow for Stroke.
  • Aneurysm: Rapid for Aneurysm.
  • Pulmonary Embolism: Rapid for PE, Rapid PE Analytics.
  • Rapid AI Insights: Clinical trial solutions, EMR integration, and advanced services.

Why RapidAI for Stroke, Aneurysm, and PE

  • AI-driven CDS tools identify, locate, characterize, and quantify suspected conditions with high accuracy to support triage and transfer decisions.
  • A long-standing, clinician-designed platform used by thousands of hospitals to improve speed and consistency of care.
  • Continuous updates and regulatory advancements, including FDA 510(k) clearances for imaging innovations.

Use Cases

  • Acute stroke triage and transfer decisions (LVO detection, rapid imaging assessment).
  • Aneurysm detection and monitoring within imaging workflows.
  • Rapid identification and management of suspected PE cases.
  • Enterprise workflow optimization and interoperability with electronic medical records (EMR).

Safety and Compliance

  • Designed for clinical accuracy with clinician oversight; adheres to healthcare privacy and data-security standards as part of its deployment in hospital environments.

How to Use RapidAI

  1. Request a demo or deployment through the RapidAI sales/support channels.
  2. Integrate imaging workflows (NCCT, CTA, CTP, MRI) with your EMR and PACS as appropriate.
  3. Leverage AI-assisted interpretations to accelerate triage, transfer, and treatment planning.
  4. Monitor outcomes and analytics to drive continuous improvement across your stroke/vascular programs.

Company Credentials & Reach

  • 2,200+ hospitals trust RapidAI for ongoing patient care improvements.
  • 15 years of development with 90 million lives touched.
  • Global operations with multi-regional support and training offerings.

Core Features

  • AI-powered clinical decision support for stroke, aneurysm, and PE
  • Rapid NCCT, Rapid ICH, Rapid Hyperdensity, Rapid SDH, Rapid ASPECTS, Rapid Hypodensity
  • Rapid CTA, Rapid LVO, Rapid CTP, Rapid MRI for comprehensive imaging analysis
  • Rapid Workflow for Stroke and AngioFlow for Stroke integration
  • Aneurysm-focused detection and monitoring tools
  • Pulmonary Embolism detection and analytics (Rapid for PE, Rapid PE Analytics)
  • EMR integration and interoperability
  • On-demand training and advanced services
  • Clinical trial solutions and research-grade insights
  • Enterprise scalability across hospital networks