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: CT
Source: Vendor
Benign-maligant prediction, Bronchial/vascular reconstruction, Graphic diagnostic reports, Incisal expanson, Local VR, Lung segment focus, Nodule classification, Nodule risk assessment, Pulmonary nodule detection, Radiomics analysis, Volume quantification, Whole lung 3d reconstruction
The CT Pulmonary Nodule 3D application is intended to detect and analyze suspicious lung nodules in chest CT images of adult patients. The application also provides 2D and 3D reconstructed views, and analyzes parameters of nodules to assess the characteristics of the lung nodules.
Subspeciality: Abdomen
Modality: CT
Source: Vendor
Automatic organ segmentation, Detection liver lesions, Measurement lesions, Quantification liver lesion, Segmentation liver lesions
DUOnco™ Liver, an AI-powered assistant, detects and segments liver lesions on CT scans. The AI solution also provides automatic measurements and quantification of lesions (diameters, volume, and average Hounsfield units).
Subspeciality: Abdomen
Modality: CT
Source: Vendor
Automatic detection of lesions of main pancreatic duct, Automatic organ segmentation, Automatic segmentation of lesions of main pancreatic duct, Detection of cysts (IPMNs and others)
DUOnco™ Pancreas, an AI-powered assistant, detects and segments small pancreatic lesions (<2cm) and main pancreatic duct on CT scans.
Subspeciality: MSK
Modality: CT
Source: Vendor
Automatic detection of bone lesions, Automatic localization of bone lesions, Bounding box for lesion visualization
DUOnco™ Bone is a CE-marked AI-powered software that detects and localizes bone lesions (including metastases and primary tumors) in CT scans across the thorax, abdomen, and pelvis. Designed to reduce diagnostic blind spots and improve sensitivity, it aims to support radiologists by streamlining oncologic image interpretation.
Subspeciality: Breast
Modality: Mammography
Source: Vendor
Automated breast density assessment (ACR), Breast mass detection, Level-of-suspicion score, Micro-calcification detection
Mamosis-Mammography is medical software that functions as a decision support tool for radiologists in breast cancer screening. Using artificial intelligence, the platform analyzes 2D mammography images to detect and highlight suspicious findings like masses and micro-calcifications. It also provides an automated, objective breast density assessment (ACR). The software is designed for full integration with existing clinical workflows and hospital systems (PACS/HIS)
Subspeciality: MSK
Modality: X-ray
Source: Vendor
Fracture detection, Textual report generation, Worklist prioritization
Carebot AI Bones is a deep learning-based decision support software that assists radiologists in interpreting X‑ray images of the appendicular skeleton (upper/lower limbs and pelvis) in patients aged ≥1 year. It analyzes musculoskeletal X-rays, highlights suspected fractures, assigns image/study risk scores, and generates a preliminary text report. The software is designed to be used in combination with PACS and DICOM viewers.
Subspeciality: Cardiac
Modality: CT
Source: Vendor
Classification of aortic dissection, Reconstructed images (MPR/VR/MIP/Probe/CPR/SCPR) of the aorta and its branches, Report generation, Triage of aortic dissection
The CT Aortic Dissection application is intended to provide a radiological computer-aided triage tool that assists in flagging studies with suspected positive findings of aortic dissection pathologies and offers viewing, manipulating, and evaluating functionalities for aortic CTA images.
Subspeciality: Cardiac
Modality: CT
Source: Vendor
Coronary lesion detection, High risk plaque classification, Plaque analysis, Plaque detection, Reconstructed images (MPR/VR/MIP/Probe/CPR/SCPR), Segmentation and 3D reconstruction of heart and coronary arteries, Stenosis detection
The CT Coronary Plaque application is intended to assist in detecting and evaluating plaques found in cardiac CT images of adult patients. It provides segmentation results of the detected plaques, multiple reconstructed images and a series of parameters, facilitating radiologists to confirm or dismiss the software detected plaques.
Subspeciality: Neuro
Modality: CT
Source: Vendor
Mismatch area volume, Mismatch ratio, Perfusion parameter images
The CT Cerebral CTP Auxiliary Analysis application is intended to process computed tomography (CT) perfusion scans of the brain, automatically reconstruct perfusion parameter maps, and assist in the quantitative assessment of hypoperfusion areas, core infarct areas, and mismatch regions in patients with ischemic stroke.
Subspeciality: Neuro
Modality: CT
Source: Vendor
ASPECT area segmentation, ASPECTS score
The CT Ischemic Stroke application is intended to provide ischemic stroke assessment of non-contrast head CT images, including segmentation and evaluation of ASPECTS regions, and supports the display of ischemic areas.
Subspeciality: Abdomen
Modality: CT
Source: Vendor
Lesion classification, Lesion HU quantification, Lesion localization, Report generation, Volume quantification
The CT Abdomen application is intended to processing and analyzing abdominal enhanced CT images, particularly for detecting focal liver lesions and abnormalities. It performs image analysis and processing while automatically quantifying lesion information.
Subspeciality: Abdomen, Breast, Cardiac, Chest, MSK, Neuro
Modality: PET
Source: Vendor
Denoising, PET image enhancement
NUCLARITY is an AI technology that aims to enable safer and faster high-quality positron emission tomography (PET) scans. The software enhances the image quality of the PET scans by optimizing noise reduction, improving signal-to-noise ratio, and correcting artefacts.