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Fast Company recognizes Rapid Aortic in its 2026 Innovation by Design Awards

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BLOG The Rapid Enterprise™ Platform The only enterprise platform connecting imaging to clinical action across the health system LEARN MORE
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RADIOLOGY SUPPORT

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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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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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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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AI

What health system leaders want from clinical AI before they commit

Dr. Vivek Singh talks with Scott Becker, founder of Becker's Healthcare, about how health system leaders decide which AI tools to adopt and how those decisions land with the clinicians who use them every day. Becker has spent three decades in conversation with health system executives, and his background as a lawyer and CPA shapes a practical view of what makes clinical AI stick. Here are three takeaways from the conversation.
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Advanced Imaging

X-ray AI is advancing. The workflow around it needs to keep up.

X-rays are among the most common imaging exams in health care. They're also central to some of the decisions clinicians make every day, from evaluating a suspected fracture in the emergency department to identifying abnormalities on a chest X-ray that may require further investigation.
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Clinical Decision Support

Sixty percent of incidental lung nodules are lost to follow-up.

A lung nodule is found. Who makes sure the patient gets follow-up care? A patient gets a CT for chest pain, abdominal pain, or a trauma workup. The radiologist reads it and notes a lung nodule in the report. The patient goes home, the ordering clinician moves on, and the finding sits in a report that no one is assigned to act on.
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Riverain ClearRead and RapidAI: Connected AI for comprehensive chest imaging

Riverain Technologies’ FDA-cleared ClearRead™ Chest suite is available through the Rapid Enterprise™ Platform, alongside a full-body portfolio of deep clinical AI within a consistent, connected workflow. Designed for chest CTs and X-rays, ClearRead Chest helps radiologists detect, characterize and visualize pulmonary nodules, pneumothoraces and coronary artery calcifications. The integration brings Riverain’s chest imaging AI together with RapidAI’s full-body deep clinical AI portfolio of more than 50 clinical solutions, all in a connected, consistent workflow.
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Clinical Decision Support

How AI can be a force multiplier to address healthcare's challenges

Dr. Vivek Singh talks with Dr. Timothy Judson, Chief Population Health Officer at UCSF, about how AI can act as a force multiplier against some of healthcare's greatest challenges, including access and affordability. One in three Americans carries medical debt, and one in three lacks a primary care provider. Access, affordability, and quality have long behaved like an iron triangle, where improving one comes at the expense of another. Dr. Judson believes AI is the first real opportunity to break that tradeoff, but only under the right conditions. Here are three takeaways from the conversation.
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AI

What three days at Becker's Healthcare IT conference confirmed: clinical AI governance isn't optional anymore

Becker's 11th Annual Health IT + Revenue Cycle Conference made one thing clear this week. The conversation around enterprise clinical AI has moved past adoption and into accountability. Across sessions on ambient documentation, revenue cycle intelligence, and workforce management, a consistent thread emerged: health systems that deployed AI quickly are now asking harder questions about how to govern, evaluate, and sustain it.
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Clinical Decision Support

RapidAI's Rapid Aortic named a finalist in Fast Company's 2026 Innovation by Design Awards

Aortic disease is among the most dangerous and underdiagnosed conditions in medicine, often remaining silent until a life-threatening rupture or dissection. Rapid Aortic was designed to support the identification and monitoring of aortic disease. It automatically analyzes every CT scan that includes the aorta, regardless of why it was ordered. It then generates standardized measurements from the aortic root through the iliac arteries, and aligns prior scans with current imaging so care teams can see disease progression clearly, without the manual work otherwise necessary.
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Advanced Imaging

The real reason most healthcare AI never reaches patients

Dr. Vivek Singh talks with Artem Trotsyuk, a Stanford-trained engineer who built a wireless, AI-powered smart bandage that could monitor wounds and trigger healing without human intervention. The work was published in Nature Biotechnology and covered by the NIH. Then Trotsyuk tried to move it from the lab to an actual patient, and he learned that deployment is a completely different problem than the one he had just solved. That experience redirected his career: instead of building the next tool, he started studying why the last one never made it into practice. He now works with a governance group at Stanford Health Care that evaluates AI tools before they move from pilot to enterprise use. Here are three takeaways from the conversation.
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Introducing EdgeIQ: Context-aware orchestration across the imaging AI workflow

A radiologist moves quickly through a high volume of studies each day, spanning a wide range of anatomic areas and complex disease states. Behind the scenes, each study must be captured and matched to the correct AI models, and the results routed to the right person, often across multiple sites with different scanners, protocols, and configurations. At the same time, some studies or scans need to be prioritized ahead of others given the acute nature of the patient's condition, which requires a very fast response. Today, much of that matching and routing still depends on manual, case-by-case configuration, adding complexity and requiring continuous IT maintenance. That’s the gap we built EdgeIQ to close.
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