Vendor source

Reviewed 11 May 2026

Completeness Good (56%)

AZnod

AZmed

AZnod analyzes each slice of a CT to identify nodules between 3 mm and 30 mm. The system evaluates them, provides measurements of volume, long-axis diameter, and perpendicular diameters, and indicates the exact CT slices where they appear.

It classifies the detected nodules according to density, contour morphology, internal composition, and positioning in the lungs, which supports guideline-aligned clinical assessment without changing existing diagnostic workflows.

No papers to support — we monitor for new evidence.

Key Features

  • Lung nodule detection
  • Nodule characterization
  • Nodule classification

General Information

Product name

AZnod

Company

Modality

CT

Main task

Detection

Subspeciality

Chest

Disease targeted

Pulmonary nodules from 3mm in diameter

Regulatory Information

CE Certification

Pathway:

MDR

Class:

Class IIa

Verified by Health AI Register

Other certifications

Not specified

Evidence & Research

No research papers or evidence on file yet.

The registry monitors publications for new evidence.

Technical Specifications

Patient population age

Adult, Pediatric

Input

2D

Input format

Not specified

Output

Classification of suspected nodules, Fleischner recommendations location of pulmonary nodules, complete characterization of each nodule: size, density, contour, composition, position

Output format

Not specified

Integration

Integration in standard reading environment (PACS), Integration RIS (Radiological Information System)

Deployment

Cloud-based, Hybrid solution

Trigger for analysis

Automatically, right after the image acquisition

Processing time

Not specified

Population

Not specified

Market Presence

On market since

12-2025

AI Platforms

Resellers

Not specified

Countries present

Not specified

Paying clinical customers

Not specified

Research/test users

Not specified

Pricing Information

Pricing model

Subscription

Based on

Number of analyses

Source: Vendor | First published: Jan 31, 2026 | Last updated: May 11, 2026