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: 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: 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: 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: MSK
Modality: X-ray
Source: Vendor
AP/PA full spine, Bracing support, Calibration ball support, Cobb angle, Coronal balance, Metalwork detection, Spinal alignment, Vertebral detection/labeling
IB Lab SQUIRREL is a radiological image processing software that aims to support physicians in the assessment of spinal morphology and scoliosis evaluation using frontal radiographs of the spine, particularly for the purpose of scoliosis assessment and disease progression. The algorithm is triggered automatically by a scoliosis study and returns relevant scoliosis parameters like the patient's Cobb angle and the Coronal Balance. The findings are summarized in a visual output report, attached to the original x-ray image and saved automatically in the PACS system.
Subspeciality: MSK
Modality: X-ray
Source: Vendor
12 radiological findings and measurements: genu varum, AMA angle, Anatomical angles according to paley, Femur length, Genu valgum, Hip knee angle, Joint line convergence angle, Lower extremity length discrepancy, Mechanical angles according to paley, Mechanical axis deviation (mad), Tibia length
IB Lab's diagnostic support tool LAMA uses deep learning technology for automated measuring of leg geometry to evaluate lower limb deformities, such as leg or lower extremity length discrepancy and knee alignment deformities.
Subspeciality: MSK
Modality: X-ray
Source: Vendor
10 radiological findings and measurements: lce-angle, Acetabular dysplasia, CCD-angle, Coxa valga, Coxa vara, Extrusion index/femoroacetabular coverage, Femoroacetabular impingement, Pelvic obliquity/leg length difference. for acetabular coverage measurements: tönnis angle, Sharp angle
HIPPO supports the objective and standardized measurement of the most important hip angles based on digital x-rays. These include, for example, the CCD and LCE angles as well as numerous other relevant angles for the diagnosis of hip disease including hip arthritis and hip dysplasia.
Subspeciality: MSK
Modality: X-ray
Source: Vendor
Bone age estimation, Growth Potential
PANDA sofware provides an automated method to estimate pediatric bone age, monitor child growth and development from digital X-rays of the hand.
Subspeciality: MSK
Modality: X-ray
Source: Vendor
Kellgren & Lawrence classification, OARSI classification, Osteoarthritis detection
Knee Osteoarthritis Labeling Assistant. Osteoarthritis is a paralyzing joint disease that can lead to joint replacement. Early detection as well as therapy can prevent unnecessary surgeries. Image Biopsy's lab module KOALA detects signs of knee osteoarthritis based on standard joint parameters and OARSI criteria of standing radiographs of the knee.
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.