Find the artificial intelligence based software for radiology that you are looking for. All products listed are available for the European market (CE marked).
7/214 results
Detection Aid, Region Analysis, Exam Score, 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 ...
Breast cancer detection, abnormality score, density assessment
Lunit INSIGHT MMG is deep learning based software that assists radiologists in the interpretation of mammograms. The AI solution automatically detects suspicious areas for breast cancer on mammograms ...
MRI scan acceleration, MRI image enhancement
SwiftMR aims to accelerate MRI scans by up to 50% by enhancing low-quality initial outputs from accelerated scans. The deep-learning model improves SNR and resolution of MRI inputs, irrespective of ...
Breast cancer detection, abnormality score, 3D slice(s) selection showing the suspicious lesion(s)
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.
Breast density classification (ACR BI-RADS), real time image quality assessment, lesion and ...
Stand-alone AI system for assessment of mammographic breast density, real-time evaluation of image quality, lesion detection and mechanism for personalized suggestion of supplemental diagnostics.
Lesion/nodule segmentation, lesion/nodule classification, auto-population of lesion/nodule ...
Koios DS is a software application designed to assist trained interpreting physicians in analyzing breast and thyroid ultrasound images. Koios DS software automatically classifies breast lesions ...
Triaging normal exams, safety net, report generation, AI-based workflow
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 ...