Products
Find the artificial intelligence based software for radiology that you are looking for.
All products listed are available for the European market (CE marked).
15/211 results
Modality: CT
Triage tool, workflow improvement
Aidoc’s Pulmonary Embolism solution is a triage and notification software indicated for use in the analysis of CTPA images; flags and communicates Pulmonary Embolism (PE).
Modality: CT
Triage tool, workflow improvement
Aidoc’s Incidental Pulmonary Embolism algorithm is a triage and notification software that flags and communicates suspected positive findings of pulmonary embolism and runs automatically on contrast ...
Modality: X-ray
Triage tool, workflow improvement
Aidoc’s pneumothorax solution is a triage and notification software indicated for use in the analysis of chest radiograph images; flags and communicates suspected positive findings of pneumothorax.
Modality: CT
Triage tool, workflow improvement
Aidoc’s pulmonary nodules solution is a triage and notification software indicated for use in the analysis of CT images; flags and communicates suspected positive findings of pulmonary nodules.
Modality: CT
Pulmonary embolism detection, pulmonary embolism triage
CINA-PE is a radiological computer aided triage and notification software indicated for use in the analysis of chest and thoraco-abdominal CT angiographies. The device is intended to assist hospital ...
Modality: CT
Pulmonary embolism detection, notification
The CINA-iPE solution provides automated detection and prioritization of incidental Pulmonary Embolism on CTA scans.
Modality: CT
Aortic dissection triage, aortic dissection detection
CINA-AD is a radiological computer aided triage and notification software indicated for use in the analysis of chest and thoraco-abdominal CT angiographies. The device is intended to assist hospital ...
Modality: CT
Quantification of lung involvement, total and lobular, lesion classification
icolung is a cloud-based AI software to quantify the degree of lung involvement in COVID-19 patients. CE cleared, in the US available for clinical use during public health emergency related to ...
Radiology report assessment of liver lesions, pulmonary nodules, pancreatic lesions, thoracic and ...
IMedis Duali-Q aims to optimize the QA process by performing automatic QA on every CT scan and accompanying report to uncover actionable failure points, helping to enhance radiology performance, ...
Modality: CT
Lung nodules detection and quantification, LungRADs categorization, Vancouver Risk calculator, ...
JLD-01K is based on the Convolutional Neural Network (CNN), a type of deep learning model, that detects nodules in pulmonary CT images. Measure the diameter and volume of the nodules found, proceed ...
Modality: X-ray
Abnormality detection and localization of 15 lung diseases
JLD-02K is an AI medical system that diagnoses lung diseases using simple chest X-ray images and clinical information. This system is based on a hybrid artificial neural network technology for lesion ...
Modality: CT
Lung nodule detection, emphysema detection
qCT-Lung aids lung cancer screening programs and facilitates opportunistic screening using AI. It provides pre-read assistance to clinicians by detecting lung nodules & emphysema.
Modality: X-ray
Detection of 148 chest findings grouped into 17 classes, bone suppression, bone subtraction, ...
Rayscape CXR solution identifies a total of 148 findings on chest x-rays that are further on grouped into 17 main classes.The Rayscape’s algorithms show their location on the x-ray scan and provide ...
Modality: CT
Nodules detection, nodules localization, nodules measurements, volume calculation, diameter ...
Rayscape's Lung CT solution helps radiologists identify lung nodules that have a diameter between 3-30 mm. The algorithms highlight the presence of nodules on each slice and, separately, measures the ...
Flagging of 15 chest abnormalities
X1 is a medical device that uses deep learning to analyze chest x-rays, flagging those images that are suggestive of the presence of one or more of 15 pre-specified findings. It is PACS agnostic and ...