Vendor source
Reviewed 11 May 2026
Completeness Strong (67%)
The AI-Rad Companion Chest X-ray automatically characterizes radiographic findings for a valid chest scan in the lung and pleura. It works like a second or third reader to support radiologists in differential diagnosis and clinical decision-making. It is capable of detecting pneumothorax, pulmonary lesions (nodules, masses, and granuloma), actelectasis, consolidation and pleural effusion. The DL algorithms automatically detect the tip of the endotracheal tube and carina. The distance will be computed and notifies when the distance between an endotracheal tube tip and the carina is above or below the configured threshold.
Supported by 5 papers





General Information
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Modality
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Disease targeted
Regulatory Information
Pathway:
MDR
Class:
Class IIb
Verified by Health AI Register
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Not specified
Evidence & Research
Peer-Reviewed Papers
The Impact of AI on Eye Gaze Patterns in Chest X-Ray Interpretation
Investigative Radiology · Mar 2026
Comparison of Commercial AI Software Performance for Radiograph Lung Nodule Detection and Bone Age Prediction
Radiology · Jan 2024
Commercially Available Chest Radiograph AI Tools for Detecting Airspace Disease, Pneumothorax, and Pleural Effusion
Radiology · Sep 2023
Evaluation of the clinical performance of an AI-based application for the automated analysis of chest X-rays
Scientific Reports · Mar 2023
An Artificial Intelligence–Based Chest X-ray Model on Human Nodule Detection Accuracy From a Multicenter Study
JAMA Network Open · Dec 2021
Technical Specifications
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Source: Vendor | First published: Jun 30, 2024 | Last updated: May 11, 2026