Formus Hip is a preoperative planning software designed to assist orthopedic surgeons by automatically generating 3D models of the hip from CT scans and overlaying digital representations of hip implants. It uses AI algorithms for image segmentation and statistical shape modeling, helping clinicians plan hip replacement surgeries more effectively by customizing implant fitting interactively and producing printable surgical plans.
Viz AAA is an AI-powered software device designed to analyze CT angiogram images of the abdomen to detect suspected abdominal aortic aneurysms. It helps specialists prioritize patient studies by flagging those with potential aneurysms, improving workflow efficiency in clinical settings. The software provides non-diagnostic preview images and emphasizes that diagnostic decisions remain with treating specialists.
AccuContour is a software for radiation oncology departments that uses AI-based deep learning to automatically register multi-modality medical images and segment non-contrast CT images. It assists clinicians in treatment planning, evaluation, and adaptation by generating critical imaging information, thus improving workflow efficiency and patient care in radiation therapy.
Spectral Bone Marrow is an automated deep learning-based software designed for spectral CT images of the body and extremities. It segments bone regions and creates enhanced, color-coded images to help radiologists better visualize bone marrow. This assists in diagnosing traumatic and non-traumatic bone conditions more efficiently by providing improved image visualization and an automated clinical workflow.
The Aquilion Precision (TSX-304A/4) V10.14 with AiCE is an advanced whole-body CT scanner that leverages AI through deep convolutional neural networks to reduce image noise and improve image quality. It also uses an iterative reconstruction algorithm to reduce radiation dose while enhancing spatial resolution. This helps clinicians obtain clearer and more detailed images to support diagnosis and treatment planning across various body regions, including abdomen, chest, brain, and extremities.
The Aquilion Serve (TSX-307A/1) V1.2 with AiCE-i is a whole-body multi-slice helical CT scanner enhanced with AiCE, an AI-based noise reduction algorithm using deep convolutional neural networks. It improves image quality and reduces noise for abdomen, pelvis, lung, cardiac, extremities, head, and inner ear scans, helping clinicians obtain clearer diagnostic images faster and with potentially reduced radiation dose.
Rapid NCCT Stroke is software that uses artificial intelligence to analyze non-contrast head CT scans and quickly notify clinicians about suspected areas of brain hemorrhage or large vessel blockage. This helps prioritize urgent cases and speeds up patient care, but it is intended to assist—not replace—clinical judgment and diagnosis.
AVIEW Lung Nodule CAD is an AI-powered software designed to help radiologists detect lung nodules on chest CT scans. It automatically identifies nodules between 3 to 20 mm in diameter, providing an additional review layer to ensure suspicious nodules are not overlooked. This tool integrates with medical imaging systems and has been clinically tested to improve detection accuracy and reduce the time radiologists spend reviewing CT scans, ultimately aiding early diagnosis of lung conditions.
Brainomix 360 e-ASPECTS is an AI-powered software that analyzes non-contrast CT brain scans to assist clinicians in detecting and characterizing ischemic brain tissue injuries, particularly in cases of acute stroke caused by MCA or ICA occlusions. It automatically provides an ASPECTS score, highlights affected brain regions, and visualizes voxel contributions to the score, helping clinicians make timely and more accurate assessments to guide stroke treatment.
The uCT ATLAS Astound with uWS-CT-Dual Energy Analysis is an advanced CT scanner designed to produce cross-sectional images of various body regions, including head, whole body, cardiac, and vascular areas. It integrates deep learning for image reconstruction to enhance image quality and reduce noise, and includes software for dual energy analysis to differentiate tissue types based on their chemical composition. This aids clinicians in lung cancer screening and detailed anatomical evaluation, supporting early diagnosis and treatment.
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