FDA Cleared New AI Tool for CT Scan Triage

The regulatory agency granted clearance for software designed to help radiologists prioritize abdominopelvic scans.

Updated on Sept. 21, 2026 in Artificial Intelligence

Isometric editorial illustration of a stylized, geometric medical CT scanner gantry in a clinical environment. — The FDA has granted clearance to the a2z-Abdo-Triage device, an AI software tool designed to assist radiology teams by prioritizing abdominopelvic CT scans. AI Illustration. Upload story photo >

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The FDA has granted clearance to the a2z-Abdo-Triage device, an AI tool that assists radiology teams by flagging 10 specific findings on CT scans. This software is authorized for use on imaging performed on adult patients aged 22 and older.

Why it matters

By identifying potential issues like acute appendicitis and renal injuries, the tool helps medical professionals prioritize critical cases. The software received a Breakthrough Device designation from the FDA prior to its official clearance.

The AI software processes images from abdominopelvic CT scans, functioning with or without intravenous contrast for patients 22 or older. The firm now holds 17 total FDA-cleared findings across its two integrated triage platforms.

The players

FDA

The Food and Drug Administration is the federal agency responsible for protecting public health by regulating medical devices and ensuring the safety of software used in clinical settings.

The details

The a2z-Abdo-Triage system integrates into the existing a2z-Unified-Triage platform to streamline diagnostic workflows. It specifically scans for 10 conditions, including acute appendicitis and renal traumatic injury, to provide immediate alerts to radiology teams.

September 21, 2026: The device clearance was reported.

The Tech Race

This clearance reflects the accelerating integration of specialized AI diagnostic tools into the standard radiology workflow. Such software increasingly replaces manual triage processes to manage high volumes of medical imaging data efficiently.

Patients may benefit from faster reporting on urgent CT scan findings as radiology departments adopt this automated triage software. The tool assists in reducing the time required for physicians to identify and treat critical health conditions.

The takeaway

This technology represents a significant step in utilizing machine learning to reduce diagnostic bottlenecks in emergency and routine clinical care. Facilities utilizing these tools may see improved efficiency in processing critical abdominopelvic imaging results.