SIS Software is designed to help medical professionals such as surgeons, neurologists, and radiologists visualize and plan surgeries targeting brain structures, particularly the subthalamic nucleus. It uses machine learning and image processing to enhance standard MRI images and create patient-specific 3D models of brain anatomy, supporting safer and more precise stereotactic surgical procedures.
Quantib Brain 1.2 is a software tool that assists radiologists by automatically identifying and measuring different brain structures and white matter abnormalities from MRI scans. It provides visualizations and quantitative data to support evaluation and reporting, enabling better assessment of brain health over time by comparing multiple scans of the same patient.
Arterys Cardio DL is an AI-powered software that analyzes cardiovascular MRI scans to quantify blood flow and heart function. It helps cardiologists and radiologists by providing clinically relevant, reproducible quantitative data from MRI images, supporting clinical decision-making without giving direct medical advice.
Icobrain is a software that automatically identifies and measures volumes of brain structures in MRI scans. It helps clinicians by automating the manual process of labeling and quantifying brain regions, supports analysis at single or multiple time points, and generates detailed reports with volumetric measures to assist in diagnosis and tracking of neurological conditions.
Quantib Brain 1 is an AI-powered software tool that automatically labels and measures the volumes of brain structures from MRI scans. It helps radiologists by providing quantitative data and visualization of brain tissue and white matter abnormalities to support diagnosis and reporting.
IB Neuro v1.0 is software that processes MRI data to create maps showing blood flow and volume in the brain. These maps help doctors evaluate brain perfusion and may assist in clinical decision-making. The software integrates easily with existing MRI systems and PACS to streamline the workflow for clinicians.
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