FDA Radiology AI Devices

Contour ProtégéAI by MIM Software Inc. is a medical imaging software that assists trained medical professionals by automatically creating contours on CT and MR images using machine learning. It helps in radiation therapy by segmenting anatomical structures and specific tissues like the prostate and urethra from imaging data, improving efficiency and accuracy in treatment planning. The software works on multiple platforms and supports cloud or local deployment, allowing users to review and edit automated results for patient management and follow-up.

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.

Contour ProtégéAI by MIM Software Inc. is an AI-powered software tool that helps trained medical professionals automatically create contours of anatomical structures on CT and MRI scans. The software uses machine-learning algorithms to segment normal organs and tissues, aiding in quantitative analysis and radiation therapy planning. It is intended to improve workflow efficiency and treatment accuracy by automating tedious contouring tasks.

Contour ProtégéAI is a software tool that assists trained medical professionals by automatically creating contours on CT and MR medical images using machine-learning algorithms. It helps in quantitative analysis, adaptive therapy, image segmentation of various anatomical regions including prostate via MR images, and supports radiation therapy treatment planning. The contours can be reviewed and edited with appropriate visualization software.

Contour ProtégéAI is a software tool designed to assist medical professionals by automatically creating anatomical contours on CT and MR medical images using machine learning. It supports applications such as adaptive therapy, radiation treatment planning, and management of patient images. The software requires manual review and editing of contours to ensure accuracy, improving clinical workflow efficiency and patient care.