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: X-ray
Source: Vendor
Abnormality score, Current-prior comparison, Flagging normal exams, Radiologic finding detection, Text interpretation
Lunit INSIGHT CXR is deep learning based software that assists radiologists or clinicians in the interpretation of chest x-ray (PA/AP). The AI solution automatically detects 11 radiologic findings including atelectasis, calcification, cardiomegaly, consolidation, fibrosis, mediastinal widening, nodule, pleural effusion, pneumoperitoneum, acute bone fracture, and pneumothorax, and also supports tuberculosis screening.
Optellum
Subspeciality: Chest
Modality: CT
Source: Public
Lung nodule malignancy prediction of user-selected ROI, Nodule volumetrics
Virtual Nodule Clinic is an AI-powered clinical decision support software that helps clinicians identify and track at-risk patients who present suspicious lung nodules which may or may not be cancerous
Subspeciality: Cardiac
Modality: Ultrasound
Source: Vendor
All 4 chambers of the heart), Automated measurements include 2-dimensional (cardiac volumes, Both pw and cw measurements) and tissue doppler, M-mode (e.g. tricuspid annular plane systolic excursion), Spectral doppler (blood flow across all valves
Us2.ai supports cardiovascular disease diagnostics by providing machine learning based solutions that analyze and interpret echocardiograms, which are ultrasound images of the heart, creating patient reports, at scale, on mobile, on premises and cloud-based platforms.
Subspeciality: Breast
Modality: Mammography
Source: Vendor
Individual 1y/2y/3y breast cancer risk score
ProFound AI risk is a clinical decision support tool that provides personalized one-, two-, and three-year breast cancer risk estimates based on 2D screening mammograms or 3D breast tomosynthesis. ProFound AI Risk combines a range of risk factors (age, density, subtle mammographic features) to produce short-term risk assessments that physicians can use to create customized screening plans and catch early-stage cancers.
Subspeciality: Breast
Modality: Mammography
Source: Vendor
Calcification detection, Case scoring, Certainty scoring, Malignancy detection
The concurrent-read, cancer detection and workflow solution from iCAD analyzes each tomosynthesis image, detecting both malignant soft tissue densities and calcifications. Built on deep-learning and artificial intelligence technology, ProFound AI for breast tomosynthesis assists radiologists in addressing the challenges of reading tomosynthesis. Formerly branded as PowerLook Tomo Detection 2.0
Subspeciality: MSK, Neuro
Modality: MR
Source:
Image quality assessment, MRI image enhancement
SubtleMR is an image processing software that can be used for image enhancement in MRI images. It can be used to reduce image noise for head, spine, neck, abdomen, pelvis, prostate, breast, and musculoskeletal MRI, or increase image sharpness for head MRI.
Subspeciality: Chest, MSK
Modality: X-ray
Source: Vendor
Detection of appendicular skeleton fracture, Elbow joint effusion, Foot and spine. determine bone age., Joint dislocation., Leg, Pelvis, Pleural effusion, Pulmonary nodules, Pulmonary opacities and pneumothorax. measurement of shoulder, Rib cage fracture
TechCare Kids performs detection, measurements and bone age assessment in pediatric imaging.
- Detection: Aims to identify abnormalities across the thoracic and appendicular skeleton pathologies in pediatric patients.
- Measurements: Analyzes skeletal structures, including the shoulder, spine, hip/pelvis, leg, and foot.
- It aims to determine the bone age.
Subspeciality: Breast
Modality: Mammography
Source: Vendor
Detection Aid, Exam Score, Region Analysis, Risk score
Transpara provides decision support during reading of 2D Full-Field Digital Mammography (FFDM) and 3D Digital Breast Tomosynthetis (DBT) to help improve clinical accuracy, reduce workload and optimize workflow. Transpara is intended to support healthcare professionals with detection and diagnosis of breast lesions or for assessment of breast density and breast cancer risk using radiological images of the breast. Version 2.1 includes temporal comparison up to 3 exams.
Subspeciality: Chest
Modality: CT
Source: Vendor
Benign-maligant prediction, Follow-up analysis, Graphic diagnostic reports, Lung-RADS category, Nodule classification, Nodule localization, Nodule risk assessment, Nodule sign, Pulmonary nodule detection, Radiomics analysis, Volume quantification
The CT Lung Nodule Analysis application is intended to detect and analyze suspicious lung nodules in chest CT images of adult patients. The application also provides tools to simultaneously display follow-up chest CT images and provide comparisons across different time points to assess the evolution of the lung nodules.
Subspeciality: MSK
Modality: X-ray
Source: Vendor
Fracture detection
AZtrauma is a computer-assisted detection and diagnosis (CAD) software device to assist radiologists and emergency physicians in detecting fractures during the review of radiographs of the musculoskeletal system for ankle, clavicle, elbow, forearm, hip, humerus, knee, pelvis, shoulder, tibia, fibula, wrist, hand, foot.
Subspeciality: MSK
Modality: X-ray
Source: Vendor
Bone age, Bone Health Index, Percent Adult Height
BoneXpert analyses an X-ray of a child's hand automatically, without any interference from a human. The main result is the Greulich Pyle bone age - TW2/3 bone ages can also be given. BoneXpert also reports the bone age standard deviation score. The X-ray can be of a left or a right hand and the hand can assume any rotation in the image plane. The analysis is automatically rejected, if it cannot be done reliably, e.g. if there is too much image postprocessing. Finally, the Bone Heath Index is determined from the cortical thicknesses in the metacarpals.
Median Technologies
Subspeciality: Chest
Modality: CT
Source: Public
No key features available
Eyonis LCS is software that analyses low-dose chest CT examinations in lung cancer screening. It detects and localises pulmonary nodules and assigns each nodule a malignancy risk score. Results are provided in a DICOM report that lists nodules by score, categorised as probably benign, suspicious or very suspicious, with measurements of diameter and volume. The software is intended for use by radiologists.