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.
Used by radiation oncology to segment non-contrast CT images to generate information for treatment planning, evaluation, and adaptation.
A standalone software that uses deep learning for automatic segmentation of organs-at-risk on non-contrast CT images. It supports desktop and web-based automatic contouring and manual adjustments, compatible with DICOM 3.0 CT images from any scanner, targeting adults undergoing radiation therapy.
Segmentation performance was validated using datasets from US healthcare institutions scanned on major vendors' CT scanners (GE, Siemens, Philips). Performance measured by Dice Similarity Coefficients (DSC) showed non-inferiority compared to the predicate device. Additional organs segmented by RT-Mind-AI also showed comparable accuracy.
No predicate devices specified
Submission
9/28/2021
FDA Approval
12/15/2021
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