RapidAI Announces Late-Breaking Abstract Simultaneously Published in NEJM: Highlights Key Data Revealed at ISC 2024

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Frost & Sullivan ranks RapidAI's enterprise platform ahead of 96% in the industry

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Core Capabilities

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BLOG The market has changed: Frost & Sullivan's 2026 Radar shows who's leading it RapidAI Chief Business Officer David Stoffel, MD, MBA, breaks down what this recognition signals — and what it means for health systems planning their AI strategy for the years ahead LEARN MORE
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RADIOLOGY SUPPORT

Neurovascular

Cardiac + vascular

LIFE SCIENCES

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Cognitive Burden index RapidAI 2025
BLOG Radiology’s real challenge Read about the reality of cognitive burden LEARN MORE
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BUILT TO SUPPORT THE FULL SYSTEM

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WHITE PAPER Empowering healthcare leaders with a deep clinical AI enterprise platform Learn how AI can address real-world challenges for administrators LEARN MORE
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Radiology Rewired podcast
PODCAST Season 1 available now Exploring how AI is transforming Radiology—one conversation at a time with clinicians and innovators LEARN MORE
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TRAINING & LEARNING

HELP & ASSISTANCE

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VIDEO The story behind RapidAI Hear our founder, Greg Albers, MD, tell the history of how the company came to be Watch now
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What health systems need to get right when evaluating enterprise clinical AI platforms

Choosing the right clinical AI platform is one of the most consequential technology decisions a health system can make. The pressure to adopt AI is real. But moving fast without a structured evaluation framework leads to poor integration, low clinician adoption, and technology that fails to deliver on its promise. Getting it right demands more than a product demo.
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Advanced Imaging

The market has changed: Frost & Sullivan's 2026 Radar shows who's leading it

Frost & Sullivan ranked RapidAI among the leaders in its Frost Radar™: Intelligent Imaging Analysis Systems, 2026 — scoring 4.8 out of 5.0 on Innovation. For a report that evaluated both specialized AI companies and some of the largest traditional imaging vendors in healthcare, that placement matters.
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Stroke

CT perfusion identifies more treatable stroke patients, without slowing care

A large multi-state registry study shows that adding CTP to routine stroke imaging more than doubles EVT rates, with no increase in treatment delays.
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Workflow

How advanced CT perfusion biomarkers are redefining stroke decision-making

When a stroke patient arrives in the ED, the clock is ticking, but speed without precision can be just as dangerous as delay. That was the central message from a recent RapidAI webinar featuring three internationally recognized experts: Dr. Greg Albers,Stanford University and RapidAI co-founder, Prof. Pierre Seners,Rothschild Foundation Hospital, Paris, and Prof. Marios Psychogios,University Hospital Basel. The session covered everything from the fundamentals of CT perfusion (CTP) interpretation to the frontier of medium vessel occlusion (MeVO) detection and treatment.
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Radiology rewired: when clinical AI becomes hospital infrastructure

Clinical AI is often evaluated as a product. Something hospitals pilot, measure, and either keep or abandon. Episode 5 of Radiology Rewired challenges that mindset. AI changes care only when it functions as hospital infrastructure, embedded into how decisions are made across teams and specialties.
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Radiology

Key factors that influence clinical AI success at the health system level

Artificial intelligence is already embedded across healthcare, from administrative automation to revenue cycle management and documentation support.
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Aneurysm

When aneurysms become emergencies: bringing ischemic stroke-level care pathways to hemorrhagic stroke

A ruptured brain aneurysm is a major cause of hemorrhagic stroke and requires the same urgency and coordination long established in ischemic stroke care. Early imaging, rapid blood pressure control, and multidisciplinary response are critical to limiting secondary brain injury. AI-supported CTA workflows are helping health systems bring standardized, time-based pathways to hemorrhagic stroke, mirroring proven ischemic stroke models.
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Workflow

Protecting the radiology workforce through better systems and AI training

Radiology is in a strange moment. The profession has never been more essential, yet trainees still hear: "AI is coming for radiologists." Meanwhile, imaging volumes keep climbing and radiologists are being asked to do more with less.
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Workflow

The future radiology workforce: what healthcare leaders need to understand now

Radiology is at a turning point. Imaging volumes continue to climb, experienced radiologists are leaving the field, and the pipeline of new trainees is not growing quickly enough to meet demand. These pressures are structural, not cyclical. They reflect deeper issues in how the radiology workforce is supported, how work is organized, and how systems shape the demands placed on radiologists every day.
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