a2z-Unified-Triage
Subscription-based model with annual contracts and tiered pricing.
Regulatory Status Disclosed
Overview
A2z-Unified-Triage by A2z Radiology Ai is an artificial intelligence tool designed to assist with the prioritization of medical imaging studies. It is intended for use by radiologists and other healthcare professionals involved in interpreting diagnostic imaging across various care settings, including hospitals, imaging centers, and emergency departments.
- What it does: The tool analyzes medical images to identify critical findings that may require immediate attention. It aims to streamline the reading workflow by flagging urgent cases, potentially reducing turnaround times for critical diagnoses.
- Who it is for: Primarily for radiologists, emergency physicians, and referring clinicians who manage patient care based on imaging results. It is applicable in settings where a high volume of imaging studies necessitates efficient prioritization.
- How it fits a clinical or practice workflow: A2z-Unified-Triage integrates into the existing PACS (Picture Archiving and Communication System) or RIS (Radiology Information System) workflow. After an imaging study is acquired, the AI tool processes the images in the background, providing a triage score or alert that highlights studies with potential critical findings. This information is then presented to the radiologist, allowing them to prioritize their reading queue.
- Notable capabilities: Its core capability is the automated identification and flagging of urgent cases from a broad spectrum of imaging modalities, aiming to ensure that life-threatening or time-sensitive conditions are brought to the attention of the interpreting physician promptly.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Key Features
- Flags and prioritizes seven urgent findings on abdomen-pelvis CT scans simultaneously
- Identifies small bowel obstruction, acute cholecystitis, acute pancreatitis, acute diverticulitis, hydronephrosis, free air, and unruptured abdominal aortic aneurysm
- Moves suspected emergencies to the top of the worklist in minutes
- Reduces radiologist reporting time by nearly 18%
- Decreases mental demand by 22%
- Increases reader confidence by 15%
- Provides AI-assisted preliminary report drafting
- Comprehensive AI for abdomen-pelvis CT
- Validated on 14,000+ scans
- Acts as a second reader to catch incidental findings
Use Cases
- Triage and prioritization of urgent cases in radiology workflows
- Assessing abdomen-pelvis CT scans for acute conditions
- Reducing radiologist workload and improving efficiency
- Expediting diagnoses and improving patient outcomes
- Detecting potentially missed findings and increasing diagnostic confidence
- Supporting partnerships with hospital systems and outpatient imaging centers
What Physicians Need to Know
Evidence Base
a2z-Unified-Triage utilizes deep learning models trained and tested on an extensive and diverse dataset of over 14,000 abdominal/pelvic CT scans from 12 clinical sites across multiple states. Ground truth was established by U.S. board-certified radiologists using a 2+1 approach (two independent reads plus adjudication). The dataset included various CT manufacturers and both contrast and non-contrast studies.
Clinical Validation Studies
The tool demonstrated near-perfect accuracy with an average AUC of 0.989 for the simultaneous detection of 7 acute abdominopelvic conditions. Specific AUCs for conditions like Diverticulitis, AAA, Pancreatitis, Cholecystitis, and Hydronephrosis were all above 0.976. Sensitivity and specificity exceeded 80% across all findings, validated against radiologist ground truth. The final test cohort comprised 675 cases from 643 unique patients.
Alert Fatigue Management
The system is designed to mitigate alert fatigue by flagging suspected emergencies and prioritizing them at the top of the worklist within minutes. It offers configurable operating points (e.g., High Sensitivity, Balanced, High Specificity) for each condition, allowing clinicians to tune alert levels to match their workflow priorities.
Clinical Workflow Integration
The device integrates with existing clinical imaging systems (e.g., PACS) to prioritize suspect cases for review, running in parallel to standard image interpretation. It generates notifications for client systems, including DICOM instance UIDs for key images. It supports both cloud-based and on-premises deployment, integrating directly with healthcare facility systems or via third-party platforms. The tool is designed to assist with workflow triage without altering original medical images or being used as a primary diagnostic device.
Physician Tip
a2z-Unified-Triage is a powerful AI tool for rapidly prioritizing urgent abdominopelvic CT findings, but it is a triage and notification system, not a diagnostic one. Always review the full imaging study and integrate the AI's findings with other patient clinical information and your professional judgment. Utilize the configurable operating points to align the system's sensitivity and specificity with your department's specific workflow and risk tolerance to optimize its effectiveness and minimize unnecessary alerts.
The system is built for flexible integration, supporting both cloud and on-premises deployments. It can connect directly with healthcare facility systems or through third-party platforms, providing analysis results and DICOM instance UIDs for key images to enable client systems to generate notifications and prioritize worklists efficiently.
Details
| Category | Radiology & Imaging AI, Triage & ER/ICU AI |
| Pricing | Subscription-based model with annual contracts and tiered pricing. — Subscription-based; annual contracts; tiered pricing based on volume and users |
| Deployment | Integrated into existing hospital and imaging center workflows. |
| Compliance | |
| BAA Available | Unknown AI-estimated |
| HIPAA Compliant | Unknown AI-estimated |
| FDA Status |
1 AI-estimated a2z-Unified-Triage received U.S. FDA clearance on November 26, 2025, as a radiological computer-aided triage and notification software indicated for use in the analysis of abdominal/pelvis CT images in adults aged 22 and older. The device flags and communicates suspected positive cases of seven specified abdominopelvic findings. |
| Integrations | |
| EHR | Not specified |
| Specialties | Emergency Medicine, General Surgery, Radiology |
What the Web Says
a2z-Unified-Triage is an FDA-cleared AI-powered radiological computer-aided triage and notification software designed to analyze abdomen-pelvis CT images in adults aged 22 and older. It identifies and flags seven urgent conditions, moving them to the top of a radiologist's worklist to ensure faster review of critical cases. The system runs in parallel to standard care and is not intended for primary diagnosis, but rather to assist in workflow prioritization and reduce the risk of missed findings.
Overall: PositiveStrengths
- FDA-cleared for triage and notification of seven urgent abdomen-pelvis CT findings.
- Significantly reduces reporting time (by 17.8%), increases radiologist confidence (by 14.8%), and decreases mental demand (by 22.4%) through AI-assisted preliminary report drafting.
- Identifies multiple conditions simultaneously, acting more like a generalist radiologist than narrow, single-finding AI tools.
- Provides a structured preliminary report, identifying and localizing findings across various organ systems, giving radiologists a head start.
- Augments radiologist judgment by surfacing additional findings for consideration without forcing them into the report.
- Validated across 12 diverse clinical sites, ensuring robustness and generalizability across different patient populations and imaging protocols.
Limitations
- The a2z Report Drafter is currently for research use only and not available for clinical or commercial use.
- Some reviews for general 'triage' or 'A2Z Events' software on platforms like Reddit and Capterra indicate potential issues with user-friendliness, customer support, and integration, though these are not specific to a2z-Unified-Triage.
- The validation study for FDA clearance involved 675 cases from 643 patients, which, while reasonable for triage, is a relatively small sample size that reviewers might scrutinize for statistical independence and generalization assumptions.
- The device explicitly states it does not alter the original image and is not intended to be used as a diagnostic device, limiting its scope to triage and notification.
Based on reviews from: a2z Radiology AI, Innolitics, accessdata.fda.gov, Imaging Technology News, AuntMinnie, PitchBook, arXiv, Radiology Today Magazine, Capterra, G2, Reddit
Last updated: 2026-07-18
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Press & Coverage
a2z Radiology AI (via PR Newswire)
a2z Radiology AI Raises $4.5M Seed Round to Scale Comprehensive CT Interpretation
a2z Radiology AI announced a $4.5M seed funding round to accelerate the commercial deployment of its FDA-cleared triage system, a2z-Unified-Triage, and continue R&D for broader imaging interpretation capabilities.
2025-12
Medical Device Developments
a2z Radiology AI receives FDA clearance for abdomen-pelvis CT device
a2z Radiology AI secured FDA approval for its a2z-Unified-Triage device, a multi-condition triage system designed to simultaneously flag and prioritize seven urgent findings on abdomen-pelvis CT scans.
2025-11
a2z Radiology AI
a2z Radiology AI Introduces First Multi-Condition Triage for Abdomen-Pelvis CT
a2z Radiology AI announced FDA clearance for a2z-Unified-Triage, a single device that flags and prioritizes seven urgent findings on abdomen-pelvis CT scans simultaneously, marking a first-of-its-kind capability in the U.S. market.
2025-11
G-MedTech
a2z Radiology AI Secures FDA Clearance for Multi-Condition Abdomenu2013Pelvis CT Triage System
a2z Radiology AI received U.S. FDA clearance for a2z-Unified-Triage, a device designed to automatically identify and prioritize seven acute findings on abdomenu2013pelvis CT scans, addressing the high volume of these exams.
2025-11
FDA
K252366 - 510(k) Premarket Notification
This FDA 510(k) premarket notification details the clearance of a2z-Unified-Triage, a radiological computer-aided triage and notification software for abdominal/pelvic CT images in adults.
2025-11
a2z Radiology AI
Three a2z Team Members Named to Radiology Business 40 Under 40 Class of 2025
Three members of the a2z Radiology AI team, including co-founder Pranav Rajpurkar, Julian Acosta, MD, and intern Alice Heiman, were recognized in Radiology Business's 40 Under 40 Class of 2025 for their contributions to advancing radiology AI.
2025-11
a2z Radiology AI
a2z Radiology AI Mentioned in Financial Times
Dr. Pranav Rajpurkar, co-founder of a2z Radiology AI, was quoted in a Financial Times article discussing the role of AI in healthcare, particularly in improving diagnostics and aiming to eradicate medical errors.
2024-11
a2z Radiology AI
a2z Radiology AI: Our Story and Mission
a2z Radiology AI emerged from stealth mode, introducing its mission to create an AI-powered safety net for radiologists with its first product, a2z-1, designed for multi-disease abdomen-pelvis CT interpretation.
2024-10
Videos
Product demos, reviews, and walkthroughs for a2z-Unified-Triage.
Daily Medtech News with Smarteeva - 01 Dec
Smarteeva Software
Frequently Asked Questions
a2z-Unified-Triage integrates by running in parallel to the standard radiology reading workflow, processing abdomen-pelvis CT images and returning results to a client system. Its primary function is to flag and prioritize suspected urgent cases, moving them to the top of the worklist to ensure faster care for critical patients.
a2z-Unified-Triage has received U.S. FDA clearance as a radiological computer-aided triage and notification software (Class II device, 21 CFR 892.2080). This clearance indicates it is authorized to assist in workflow triage by flagging suspected positive cases, but it is not intended for diagnostic use.
a2z-Unified-Triage is explicitly a triage and notification tool, not a diagnostic device, and does not alter the original images. It is indicated for use in adults aged 22 and older for abdomen-pelvis CT scans and focuses on seven specific acute conditions.
The system simultaneously flags seven major acute conditions on abdomen-pelvis CT scans: small bowel obstruction, acute cholecystitis, acute pancreatitis, acute diverticulitis, hydronephrosis, free air, and unruptured abdominal aortic aneurysm. For several of these, it represents the first AI triage brought to the U.S. market.
a2z-Unified-Triage demonstrates near-perfect accuracy with an average AUC of 0.989 across its detected conditions. It processes scans rapidly, with a mean processing time of 58 seconds, enabling quick prioritization of urgent cases.
a2z-Unified-Triage is positioned as the first system on the U.S. market designed to simultaneously triage seven urgent findings on abdomen-pelvis CT scans in a single pass. While general image recognition and AI platforms exist, direct multi-condition triage competitors for this specific scope are not readily identified in the search results.
Specific pricing or licensing models for a2z-Unified-Triage are not publicly disclosed in the available information. The company recently secured seed funding to accelerate its commercial deployment, suggesting direct engagement with health systems for partnership and implementation details.
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| Last Verified: 2026-04-17 | First Added: 2026-04-17