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: Abdomen
Modality: MR
Source: Public
CE
FDA
Biliary system segmentation, Width and volume quantification
MRCP+ allows existing MRCP data to be enhanced and quantitatively characterized using image processing techniques. The technology can enhance the data from conventional MRCP without needing to inject contrast agent, enabling 3D visualization of ducts. MRCP+ calculates quantitative 3D biliary system models that enable measurement of bile duct widths and automatic detection of regions of variation of duct widths. MRCP+ includes tools for interactive segmentation and labelling of the biliary system and structures. It allows for regional volumetric analysis of the biliary tree, pancreatic duct, and gallbladder.
Subspeciality: Chest
Modality: CT
Source: Vendor
Notification, Prioritisation, Pulmonary embolism triage
Aidoc's pulmonary embolism algorithm is a triage algorithm that alerts clinicians to the presence of one or more suspected pulmonary embolisms that are massive (high-risk), sub-massive (intermediate-risk) or low-risk acute pulmonary embolisms in all segments (central, lobar, segmental, sub-segmental). This algorithm is run on contrast enhanced CTs that are ordered for indications of a suspected pulmonary embolism.
Subspeciality: Breast
Modality: Mammography
Source: Vendor
BI-RADS, BI-RADS breast density category, Breast density quantification
Volpara is a software application intended for use with digital breast x-ray systems, including tomosynthesis. Volpara calculates and quantifies volumetric breast density as a ratio of fibroglandular tissue and total breast volume estimates. Volpara provides these numerical values along with a BI-RADS breast density 4th or 5th Edition category to aid health care professionals in the assessment of breast tissue composition.
Subspeciality: Neuro
Modality: MR
Source: Vendor
Brain change data, Brain region quantification (75 structures), Custom report options, Dynamic atlas, Normative data comparisons
NeuroQuant® is a fully automated advanced imaging software that provides segmentation and quantification from brain MRI, revealing various biomarkers. Values are compared to a unique normative database of patients of the same age and sex and similar intracranial volume to aid in making clinical decisions regarding neurodegenerative diseases.
Subspeciality: Chest
Modality: CT
Source: Vendor
Agatston, Arterial age, Automatic segmentation, CAC score per branch, Mass score, Volume
Cononary Artery Calcium Scoring
Subspeciality: Chest
Modality: CT
Source: Vendor
Abnormal lung region mapping, Lung density quantification, Report generation
Lung Density Analysis™ applies big data analysis to paired inspiratory / expiratory chest CT studies to provide visualization and quantification of lung regions with abnormal tissue density. Functional LDA is an automated image analysis providing a mapping of normal lung, air-trapping and areas of persistent low density (< -950 HU, which may be indicative of emphysema in a combined image to help visualize the components of COPD. LDA provides a full 3D DICOM series with density overlays and a quantitative report of density categories by lung region.
Subspeciality: Neuro
Modality: MR
Source: Vendor
MRI image enhancement, Nodule detection
GadoBoost AI virtually enhances contrast uptake in T1-weighted 3D brain MRI scans and automatically detects contrast-enhancing lesions. It is particularly designed for scenarios where subtle findings need to be identified, such as follow-up examinations of patients with cancers that commonly metastasize to the brain. By increasing the conspicuity of subtle enhancing findings and supporting radiologists with automated detection, GadoBoost AI aims to improve confidence during routine assessment of potentially negative examinations.
Subspeciality: Neuro
Modality: MR
Source: Vendor
ADC
hStroke_Suite DWI Module is aimed at emergency neuroimaging, with a specialized focus on diffusion-weighted MRI (DWI) for the rapid detection of ischemic strokes. The system is designed to support clinicians in identifying acute ischemic changes, possibly at an early stage.
Subspeciality: Neuro
Modality: CT
Source: Vendor
Collateral assessment, LVO detection
hStroke_Suite LVO Module is aimed at emergency neuroimaging, with a dedicated focus on detecting large vessel occlusions (LVOs) through CT angiography. The system is designed to quickly identify occlusions in major cerebral arteries.
Subspeciality: Abdomen
Modality: MR
Source: Vendor
CE
FDA
PI-RADS 2.1 structured report, Prostate segmentation
QP-Prostate is a medical imaging software that supports radiologists in the detection of clinically significant prostate cancer. It provides automatic lesion detection and risk scoring (High and Moderate) for the presence of csPCa. It also provides quantitative information, including prostate volume and dimensions, Apparent Diffusion Coefficient (ADC) map, computed high b-value and perfusion metrics (K trans, K ep, V e). The information is compiled by the radiologist in a prostate structured report template based on PI-RADS guidelines.
Subspeciality: Chest
Modality: X-ray
Source: Vendor
Radiologic abnormal finding detection, Textual report generation, Worklist prioritisation
Carebot AI CXR is a deep learning-based decision support software that assists radiologists in interpreting chest X-ray images in AP/PA projection. It serves as a secondary reader of key radiological findings, including atelectasis, consolidation, cardiomegaly, (lateral) pleural effusion, pulmonary lesions, pneumothorax, subcutaneous emphysema and external devices. Deep learning algorithms within the Carebot AI CXR detect and localize areas of interest and provide a simplified text report of the analysis result by individual finding. The software is designed to be used in combination with PACS and DICOM viewers.
Subspeciality: Abdomen
Modality: CT
Source: Vendor
Detect and flag findings, Lesion characterization, Track changes over time
SYCAI Medical® is a medical device software, based on artificial intelligence, that assists radiologists in the detection and characterization of radiological findings in the pancreas on CT scans of adult patients. SYCAI Medical integrates with the customer's PACS (Picture Archiving and Communication System), ensuring interoperability within the hospital's workflow.