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a2z Radiology AI

SIIM Annual Meeting showcasing advanced radiology AI technology at the a2z Radiology AI event. Experts discuss innovations in medical imaging and artificial intelligence.
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Booth: 633

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About a2z Radiology AI 

The Intelligence Layer for Medical Imaging. 

a2z Radiology AI is building comprehensive AI for radiology — from real-time triage to AI-assisted reporting. Starting with FDA-cleared multi-finding triage, expanding to full preliminary reads. 

 

Products: 

a2z-Unified-Triage (FDA-Cleared, Commercially Available) 

One scan. Seven critical conditions. Instant prioritization. Analyzes abdomen-pelvis CT scans in adults age 22 and older and simultaneously 

flags 7 critical conditions: abdominal aortic aneurysm, acute cholecystitis, acute diverticulitis, free air, hydronephrosis, acute pancreatitis, and small bowel obstruction. Positive findings are flagged urgent and moved to the top of the worklist. 

 

a2z Report Drafter (Investigational — Available Under IRB Only, Not FDA-Cleared) 

Powered by proprietary radiology foundation models. The drafter surveys every organ system, identifies findings across hundreds of anatomical structures, and generates a structured draft for radiologist review. This product is investigational and not FDA-cleared. It is available only under IRB-approved protocols and is not for clinical use outside of approved research settings. 

 

Beyond Triage: Our Research Vision 

a2z-Unified-Triage is FDA-cleared and ready for clinical deployment. We are also developing advanced research prototypes that extend beyond urgent 

triage, exploring comprehensive radiology AI across multiple anatomies and conditions. Research prototypes are investigational and not FDA-cleared. 

 

As Featured In: Financial Times, The Washington Post, The New York Times 

Backed By: Khosla Ventures, SeaX 

Product Categories
AI / ML / LLM TechnologiesSpeech Recognition & Structured ReportingWorkflow Management

Sponsored Sessions

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19440 Golf Vista Plaza
Ste 330
Leesburg, VA 20176
703-723-0432
info@siim.org

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