Find the artificial intelligence based software for radiology that you are looking for. All products listed are available for the European market (CE marked).
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Subspeciality: Chest
Modality: CT
Source: Vendor
Nodule malignancy similarity score
RevealAI™ is Computer Assisted Diagnostic (CADx) software that reveals patterns within images and across patients. The analytics generate scores for the current patient by comparing abnormalities to other patients that have confirmed diagnostics. RevealAI-Lung provides a Malignancy Similarity Index (mSI) from lung CT scans that aids risk assessment. Graphs are provided that help interpret how lung nodules from the current patient relate to confirmed malignant or benign nodules.
Subspeciality: Chest
Modality: CT
Source: Vendor
Automatic comparison of nodules, Diameter calculation, Malignancy score, Nodules detection, Nodules localization, Nodules measurements, SARS-Cov2, SARS-CoV2 lesion quantification, Volume calculation
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 diameter and volume of the identified ones. Rayscape CT is also able to compare lung nodules characteristics between different investigations and to generate a report with their evolution.
Rayscape Lung CT identifies lesions caused by SARS-CoV2 infection and quantify them volumetrically.
Subspeciality: Chest
Modality: CT
Source: Vendor
Longitudinal follow-up, Nodule characterization, Nodule detection and localization, Nodule quantification, Segmentation and measurement
LuCAS-plus can automatically detect and suggest nodules through its AI algorithm. The main aim of this solution is to carry out an automated and interconnected medical diagnostic process to minimize the error in diagnostic results. Also, it can compare analysis between current and previous CT images in order to help the doctor's workflow.
Subspeciality: Chest
Modality: CT
Source: Vendor
Lung nodules detection and quantification, LungRADs categorization, Report generation, 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 quantitatively, categorize the LungRADs category, and specify the total number of nodules per patient. In addition, 2D views of Axial, Coronal, Sagittal, etc. are provided through the web-based UI, and lungs and nodules are visualized and displayed through 3D views.
Subspeciality: Chest
Modality: CT
Source: Vendor
Localization and volume quantification, Lung nodule detection, Malignancy score
The AI tool is capable of detecting lung nodules in CT scans. Classification (solid, partial solid, ground glass, calcification) and risk prediction (benign, malignant) on each nodule are provided.
Subspeciality: Chest
Modality: CT
Source: Vendor
Content-based image retrieval, Lung anomaly detection, Malignancy scoring, Quantification & characterization; longitudinal nodule tracking, Visualization, Visualization and quantification; lung nodule detection
contextflow ADVANCE Chest CT offers comprehensive computer-aided detection support for ILD, COPD and lung cancer. It offers lung nodule detection and tracking of changes over time, quantitative and qualitative analysis of 8 image patterns, and 3D image search for 19 image patterns. contextflow ADVANCE Chest CT includes a timeline feature that quantifies and visualizes nodules over time, allowing physicians to follow treatment progress. A nodule malignancy similarity score can be provided through partner company RevealDx.
Bonescreen
Subspeciality: MSK
Modality: CT
Source: Vendor
Bone mineral density measurement, Risk score , Vertebral fracture detection
SpineQ is software device analyzes bone density and detects vertebral fractures on CT-scans.
MyCardium
Subspeciality: Cardiac
Modality: Ultrasound
Source: Public
Automated measurements include 2-dimensional (cardiac volumes, Batch processing, Explainable AI , Human-in-the-loop review and adjustment, Personalized normal ranges
AI-based echocardiography software that performs automated cardiac measurements using convolutional neural networks trained on a dataset of over 100,000 images. The system enables analysis of cardiac structure and function and includes a human-in-the-loop component for review and adjustment of results.
MyCardium
Subspeciality: Cardiac
Modality: MR
Source: Public
Aortic measurements, Contouring with manual edit capability (human-in-the-loop), Explainable AI (visible contours), Multi-slice, multi-phase, multi-parametric CMR analysis, Velocity-encoded flow analysis, Ventricular function analysis
AI-powered software for cardiovascular magnetic resonance image analysis, designed to improve precision, efficiency, and workflow in cardiac diagnostics. It provides automated quantification of cardiac structure, function, flow, and scar burden, with human-in-the-loop editing and explainable AI outputs.
Subspeciality: MSK
Modality: SPECT
Source: Public
Subspeciality: MSK
Modality: X-ray
Source: Vendor
Bone lesion detection, Degenerative change detection, Discrepancy flagging, Dislocation detection, Fracture detection, Heatmap localisation, Musculoskeletal X-ray CAD, NLP-based report analysis, Osteoarthritis detection, Report-to-AI comparison, Worklist prioritisation
MSK Eye is a CE-certified Class IIb computer-aided diagnosis (CAD) software intended to support trained radiologists in the analysis of adult musculoskeletal X-ray studies. The software identifies multiple predefined radiological findings, including fractures, dislocations, degenerative changes, arthritis, bone lesions, post-surgical findings, and normal. It can provide worklist prioritisation, image overlays for localisation, and post-report comparison using NLP to flag potential discrepancies between AI output and radiologist reports.