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
Source: Vendor
Brain pathology detection, Mobile notifications, Report generation, Traumatic brain injury tracking, Worklist prioritization
Head CT scans are a first line diagnostic modality for patients with head injury or stroke. qER is designed for triage or diagnostic assistance in this setting. The most critical scans are prioritized on the radiology worklist so that they can be reviewed first. It detects critical abnormalities such as bleeds, fractures mass effect and midline shift, localizes them and quantifies their severity. In the US, FDA 510(k) clearance only for quantifying the volume of intracranial structures and lesions. See qER-Quant
Subspeciality: Chest
Modality: X-ray
Source: Vendor
Subspeciality: Neuro
Modality: MR
Source: Vendor
Brain segmentation, Volume calculation, White matter hyperintensities quantification
QP-Brain is a medical image processing application intended for automatic labeling and volumetric quantification of segmentable brain structures and White matter hyperintensities (WMH) from a set of MR images. Volumetric measurements may be compared to reference percentile data. The application is used by trained medical professionals, such as radiologists and neuroradiologists, as well as by clinical researchers, as a support tool in the assessment of structural MRIs.
Subspeciality: Abdomen
Modality: MR
Source: Public
Fibrosis and inflammation, Iron, Quantification of liver fat
LiverMultiScan® is a diagnostic aid for liver disorders that uses multiparametric Magnetic Resonance Imaging (MRI) to quantify liver tissue. LiverMultiScan is non-invasive and characterizes liver tissue by providing quantitative measures of liver fat, and correlates of iron, fibrosis and inflammation. LiverMultiScan is delivered as a service and does not require any additional hardware installation and is standardized across manufacturers and field strengths.
Subspeciality: Chest
Modality: X-ray
Source: Vendor
Identifying missed clinical significant findings, Quality assurance
ChestEye Quality is an automatic Quality Assurance (QA) chest X-ray solution. It automatically double-reads all chest x-rays, by analyzing radiologists' reports and comparing them with AI analysis of the studies. If ChestEye Quality identifies possible False Negative (FN) made by radiologists, it highlights the cases for the final review for the radiologists. ChestEye Quality goal is to improve the reporting accuracy of the radiologist and act as a safety net to avoid any possible FN for the radiologists.
Subspeciality: Chest
Modality: X-ray
Source: Vendor
Autonomous healthy patients report generation
ChestLink is the first fully autonomous AI medical imaging product with a CE mark. ChestLink identifies CXRs with no abnormality and produces finalized patient reports without any intervention from the radiologist, reducing radiologist workload and enabling them to focus on cases with pathologies.
Subspeciality: Neuro
Modality: CT
Source: Vendor
CE
FDA
ASPECT scoring (CE), Collateral assessment (CE), CT Perfusion analysis (CE, FDA), ICH detection (CE), LVO detection (CE, LVO location (CE)
StrokeViewer aims to aid physicians in the stroke setting by workflow solutions and algorithm support. After a patient is scanned images are automatically analysed by AI and radiologists receive a mobile notification. Physicians can review the scans by logging into the system through workstation or mobile phone, and can choose to forward images to an intervention center.
Subspeciality: Chest
Modality: CT
Source: Vendor
Nodule detection, Report generation according to guidelines, Segmentation and quantification, Temporal registration and nodule comparison
Veolity LungRead is a reading solution dedicated to lung screening programs as well as incidental pulmonary nodule management. It combines lung CAD of solid, non-solid, part-solid, and calcified pulmonary nodules, automatic nodule type classification, volumetric nodule quantification, interactive temporal comparison and nodule tracking, and creates a guideline-compliant report. Veolity supports reporting according to Lung-RADS, BTS Guidelines, BC Lung Screening Protocol incl. Nodule Malignancy Risk Estimation (according to the Brock model).
Veolity's AI automatically marks regions that are suggestive of pulmonary nodules to identify regions that demand further analysis and may have been previously overlooked by the human eye.
Subspeciality: Breast
Modality: Mammography
Source: Vendor
AI-based workflow, Report generation, Safety net, Triaging normal exams
Vara's Decision Referral Pathway ensures that each mammogram is analysed by AI and classified into one of three categories: "normal" (AI is confident there are no suspicious signs), "no classification" (AI is not confident about a classification), or "Safety Net" (AI is confident that it is highly suspicious). Vara pre-screens normal mammograms with very high confidence (pre-fills the report), allowing the reader to focus on potentially suspicious exams. Vara also post-screens mammograms with very high confidence for potentially missed exams (only triggered if the reader assigns BI-RADS <3).
Subspeciality: Breast
Modality: Mammography
Source: Vendor
3d slice(s) selection showing the suspicious lesion(s), Abnormality score, Breast cancer detection
Lunit INSIGHT DBT analyses 3D images from DBT to support diagnosis of breast cancer. Lunit INSIGHT DBT presents the 3D slice(s) on which a suspicious lesion(s) is best shown.
Subspeciality: Breast
Modality: Mammography
Source: Vendor
Image indications, Independent second read, Recall suggestion, Suspicious region marking
Mia supports radiologists in making the recall decision in breast cancer screening. Available to use in various configurations such as an independent second reader, a concurrent reader or in double reader triage. It also offers an AI-enabled breast positioning and image quality assurance tool: Mia IQ.