FDA Radiology AI Devices

AVIEW RT ACS is a software solution developed by Coreline Soft Co., Ltd. that uses deep learning AI to automatically segment organs and generate contours from CT scans. It is intended to assist clinicians, particularly in radiation oncology, by providing initial organ contours for treatment planning, saving time and improving accuracy.

AI-Rad Companion Organs RT is a software product by Siemens that uses deep learning to automatically contour organs at risk on CT imaging data. The output contours help radiation oncologists plan external beam radiation therapy by providing accurate anatomical structures for treatment planning. The software processes CT scans, generates contour data in DICOM RTSTRUCT format, and integrates with treatment planning systems to improve clinician workflow and efficiency in radiation therapy preparation.

AutoContour RADAC V2 is a software tool that helps radiation treatment planners by automatically outlining anatomical structures in CT and MR images to assist in radiation therapy treatment planning. It uses machine learning models trained on large datasets to generate these contours and allows clinicians to review and modify them before exporting for use in treatment.

ART-Plan is an advanced software tool designed to assist medical professionals in cancer radiotherapy planning. It supports visualization and manipulation of 3D multi-modal medical images (CT, MR, PET-CT, CBCT, 4D-CT) and includes AI-driven automatic and semi-automatic segmentation of organs at risk and lymph nodes. It also allows image registration and generation of synthetic CT images from MRI, facilitating precise and efficient radiation treatment planning.

MVision AI Segmentation is a software device designed to automatically create segmentation templates of anatomical regions on CT images to assist clinicians in radiation therapy treatment planning. It uses machine learning-based algorithms to generate initial contours for multiple anatomical sites, which clinicians can review and modify before use, helping to save time and improve efficiency in clinical workflows.

The EFAI RTSuite CT HN-Segmentation System is AI-powered software designed to assist radiation oncology professionals by automatically contouring organs at risk in head and neck CT images. It helps streamline radiation therapy treatment planning by providing initial segmentations that clinicians review and edit, improving workflow efficiency and 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.

VBrain is a software tool that helps medical professionals in planning radiation therapy for brain tumors. It uses artificial intelligence, specifically deep learning neural networks, to automatically outline brain tumors and organs at risk on MRI scans of the brain. This assists clinicians by providing initial contours that they can review and adjust, improving workflow efficiency and accuracy in treatment planning.

RT-Mind-AI is a software tool designed to automatically segment organs-at-risk in non-contrast CT images for patients undergoing radiation therapy. It helps radiation oncologists by providing accurate anatomical contours that support treatment planning and evaluation, improving workflow and precision.

Advanced Algorithms for Treatment Management Applications (AATMA) is a software library that uses machine-learning convolutional neural networks to automatically segment medical images. It provides derived data sets for use in radiation therapy treatment planning, accessible via an API and intended to help clinicians efficiently generate and review treatment contours from imaging data.