FDA Radiology AI Devices

AI-Rad Companion Organs RT is an AI-powered software that automatically segments predefined organs-at-risk from CT and MR images. It helps radiation oncologists by generating contours used in treatment planning, streamlining workflow and improving efficiency. The contours produced are reviewed and edited by trained professionals before use in radiation therapy.

OncoStudio (OS-01) is a software tool that uses deep learning to automatically outline organs at risk in CT scans. This helps clinicians and radiation oncologists efficiently generate contouring for treatment planning by providing initial contours that can be reviewed and confirmed. The software supports multiple anatomic regions including head & neck, thorax, abdomen, and pelvis, and outputs results in DICOM-RT format compatible with radiation therapy systems.

AutoContour (Model RADAC V4) by Radformation, Inc. is a software tool designed to automatically contour anatomical structures on CT and MR images to aid radiation treatment planning. Using machine learning, it helps clinicians create accurate contours of organs and tissues, streamlining the preparation process for radiation therapy and improving planning precision.

DeepContour (V1.0) is a software tool that uses deep learning to automatically segment organs on CT images for radiation therapy planning. It helps trained healthcare professionals by generating and editing organ contours, performing 3D reconstruction, and analyzing anatomical structures. By automating these tasks, it improves workflow efficiency and supports precise radiation treatment planning.

QOCA® image Smart RT Contouring System is an AI-powered post-processing software designed to automatically outline organs at risk on CT scans. This helps radiation oncology clinicians efficiently prepare treatment plans by providing accurate organ contours as input data for radiation therapy, improving workflow and precision in treatment delivery.

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.

EFAI RTSUITE CT HCAP-Segmentation System is an AI-powered software tool designed to assist radiation oncology professionals by automatically outlining critical organs at risk on CT scans. It helps radiation therapists plan treatments more efficiently by providing initial organ contours that clinicians can review and adjust, improving workflow while ensuring safety and accuracy.

Auto Segmentation by GE Medical Systems is an AI software tool that automatically generates organ-at-risk contours from CT scans to help radiation oncologists, medical physicists, and dosimetrists speed up radiation therapy planning. It produces initial segmentation contours that users can review and adjust, improving workflow efficiency and precision in radiation treatment.

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.

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.