Find the artificial intelligence based software for radiology that you are looking for. All products listed are available for the European market (CE marked).
Products
309 of 309 products
309/309
products
|
Sort by:
Subspeciality: Neuro
Modality: CT, MR
Source: Vendor
Brain volume changes, Cisternal compression, Mass lesions, Midline shift, Report generation, Traumatic axonal injuries, Volume quantification
icobrain tbi aims to standardize the assessment of brain trauma.
Subspeciality: Breast
Modality: Mammography
Source: Vendor
Calcification detection, Case scoring, Certainty scoring, Malignancy detection
Designed for radiologists, ProFound AI™ for 2D Mammography analyzes each image, detecting both malignant soft tissue densities and calcifications.
Subspeciality: Breast
Modality: Mammography
Source: Public
Breast density assessment, Image quality assessment, Risk score
intelliMammo™ by Densitas Inc. is comprised of densitas densityai™, densitas qualityai™, and densitas riskai™, processes images automatically and generates results that are available on-demand both at point of care to radiological technologists and radiologists, and retrospectively at a clinic and health system level through an advanced analytics platform for radiologists, quality control technologists, diagnostic imaging managers and health system administrators. densitas densityai™ provides ACR BI-RADS density scale assessments for development of consistent follow-up screening protocols. densitas qualityai™ generates image quality evaluations consistent with the MQSA EQUIP and Canadian Association of Radiologists Mammography Accreditation Program image quality criteria. densitas riskai™ provides breast cancer risk assessments based on image-derived factors and only two clinical factors.
Subspeciality: Neuro
Modality: MR
Source: Vendor
And shrinking lesions, Enlarging, Lesion burden calculation, Lesion change summary, Lesion counts and volumes for new, Longitudinal change data for lesions (per region) and brain structures, Normative data comparisons, Stable
NeuorQuant MS is an automated imaging software aimed at assisting physicians in their clinical evaluation process, treatment planning, and monitoring of neurodegenerative diseases by combining T2 FLAIR with 3D T1 scans for lesion and structure quantification. It automatically segments, counts, and visualizes lesions, and quantifies lesion volume changes and brain volume changes.
Subspeciality: Neuro
Modality: CT
Source: Vendor
ASPECTS score, LVO detection, Vizualization of perfusion deficits
StrokeSENS™ is an AI powered medical imaging software and notification tool used by hospital networks and trained professionals, to augment acute stroke image analysis, supporting communication and collaboration across stroke teams.
Subspeciality: Cardiac
Modality: CT
Source: Public
Calcium scoring, Coronary arteries stenosis quantification, Plaque assessment, Report generation
Cvi42 Cardiac CT has 4 main features: - Calcium Scoring: Semiautomatic calcium quantification, risk classification and percentile ranking - Coronary Arteries: Semi-automatic stenosis assessment - Plaque Assessment: Automated quantification of calcified, non-calcified and low-density plaque - Simplified Reporting: Reporting with infographics, screenshots and measurements.
Subspeciality: Cardiac
Modality: MR
Source: Public
Flow quantification, Ischemia quantification, Perfusion quantification, Segmentation, Volume quantification, Wall motion abnormality dectection
Cvi42 Cardiac MRI has 4 main features: - Function: Detect wall motion abnormality, stroke volume, ejection fraction, and end-diastolic - Flow: Quantify flow, calculate QP:QS and correct for aliasing - Tissue: Quantify tissue property characteristics for ischemic and non-ischemic heart disease - Angiography: Display anatomy, quantify diameter, and assess flow properties - Quantitative perfusion: Quantitative analysis of myocardial blood flow
Subspeciality: Neuro
Modality: CT
Source: Vendor
Notification of suspected ICH or large vessel occlusions (MCA-M1 and ICA)
Brainomix 360 Triage Stroke is a radiological computer aided triage and notification software indicated for use in the analysis of non-contrast head CT (NCCT) images to assist hospital networks and trained clinicians in workflow triage by flagging and communicating suspected positive findings of head NCCT images for large vessel occlusion (LVO) of the intracranial ICA and M1 and intracranial hemorrhage (ICH).
Subspeciality: Neuro
Modality: CT
Source: Vendor
ASPECTS score, HDVS detection, Hyperdensity detection and quantification, Ischemic volume quantification, Report generation
e-ASPECTS is a decision support tool for assessing stroke signs on plain CT brain scans which automates and standardizes the ASPECTS score and measures the volume of ischemic signs. e-ASPECTS assesses non-contrast CT scans for signs of hypodensity, with a "heat map" indicating areas of detected hypodensity and automatically segments ASPECTS regions, scoring and outlining regions containing signs of hypodensity. e-ASPECTS additionally highlights and measures hyperdense vessel signs to detect occlusions as well as volumes of hyperdensities, which may be indicative of blood.
Subspeciality: Neuro
Modality: MR
Source: Public
Brain region segmentation, Quantification
Diadem is an automated system for analysing MR brain scans, providing the clinician with a report that aids their diagnosis of dementia.
DIADEM uses a patented machine learning algorithm that identifies 150 separate regions of the brain. It then compares each region to its expected size, based on the patient's age, intercranial volume and other factors. The regions are combined into functional lobes to provide a clinically meaningful summary. Within each lobe the most clinically significant regions are individually reported.
Subspeciality: Neuro
Modality: MR
Source: Vendor
3d reconstruction, Brain tumor detection, Segmentation and brain region localization, Structured report generation
Assists in the detection, segmentation, differential diagnosis and localization of 22 types of intracranial tumors on MRI scans: chordoma, lymphoma, craniopharyngioma, choroid plexus, papilloma, meningioma, medulloblastoma, epidermoid cyst, pituitary tumor, paraganglioma, germ cell tumor, acoustic neuroma, angioreticuloma, DNET, hemangiopericytoma, pleomorphic yellow, astrocytoma, nodular cell tumor, brain metastases, astrocytoma, oligodendroglioma, glioblastoma, pilocytic astrocytoma, ependymoma, subependymal giant, cell astrocytoma.
Subspeciality: Chest
Modality: X-ray
Source: Public
Abnormality detection, Explaining heatmaps, Worklist prioritization
The red dot® algorithm is based on deep learning models. The training process teaches the algorithm to both classify a CXR and localize its findings. This localization is rendered through heatmaps and allows to understand and interpret red dot® output.