AutoContour Model RADAC V3 is an AI-enabled software designed to automatically contour anatomical structures in CT and MR images to assist radiation treatment planners in preparing radiation therapy plans more efficiently. It uses deep learning models to generate contours of organs and tumors, allowing clinicians to review and adjust as needed, which streamlines the treatment planning process and improves accuracy.
Limbus Contour is a software tool that automatically segments CT and MRI images to help radiation oncologists, dosimetrists, and medical physicists create precise contours of healthy anatomical structures. These contours are used as inputs for radiation treatment planning, improving accuracy and efficiency in therapy. The software integrates with existing treatment planning systems and image viewers, assisting in contour creation, modification, and management without displaying images directly.
AI-Rad Companion (Cardiovascular) is a software product that uses AI and deep learning to analyze previously acquired chest CT images, providing quantitative and qualitative assessments of cardiovascular structures like the heart and aorta. It helps clinicians by automating segmentation, volume measurement, calcium quantification in coronary arteries, and diameter measurements of the aorta, thus supporting accurate and efficient cardiovascular disease evaluation.
Contour ProtégéAI is a medical imaging software accessory designed to assist trained medical professionals by automatically creating anatomical contours on CT and MR images using machine learning. It helps in radiation therapy planning by segmenting various body structures, including the prostate and pelvic organs, enabling quantitative analysis, adaptive therapy, and patient follow-up. Results generated by the AI can be reviewed and edited to ensure accuracy.
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.
MPXA-2000 is a software tool intended for cardiologists and radiologists to automatically analyze X-ray angiographic images of the coronary arteries. It uses deep learning and computer vision algorithms to segment blood vessels, classify vessel types, quantify vessel dimensions, and support clinical decisions related to coronary artery disease. The software provides validated, reproducible quantitative results to aid in diagnosis and treatment evaluation, with results available for review and export.
FlightPlan for Embolization by GE Medical Systems SCS is a software application that processes 3D X-ray angiography images to help clinicians visualize blood vessels during the planning phase of embolization procedures. It uses AI-powered algorithms to automatically segment vasculature and define root points, assisting physicians in better treatment planning. This enhances clinical decision-making but is not intended for use during the delivery of therapy itself.
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 V8 and V7 Diagnostic Ultrasound Systems by Samsung Medison are advanced ultrasound machines designed for a wide range of clinical applications including fetal, abdominal, musculoskeletal, cardiac, and more. They use various ultrasound imaging modes and AI-based tools to assist healthcare professionals in acquiring and analyzing ultrasound images for improved diagnosis and workflow efficiency.
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